IEEE International Conference on Data Engineering, ICDE 2017


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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Reverse Keyword-Based Location Search

Xike Xie, Xin Lin, Jianliang Xu, Christian S. Jensen

Reverse Keyword-Based Location Search

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The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA

Andre Putnam

The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA

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Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis

Thu-Le Pham, Alessandra Mileo, Muhammad Intizar Ali

Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis

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Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators

Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki

Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators

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VisFlow: A Visual Database Integration and Workflow Querying System

Xin Mou, Hasan M. Jamil, Xiaogang Ma

VisFlow: A Visual Database Integration and Workflow Querying System

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Enterprise Community Detection

Jiawei Zhang, Philip S. Yu, Yuanhua Lv

Enterprise Community Detection

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Complex Event-Participant Planning and Its Incremental Variant

Yurong Cheng, Ye Yuan, Lei Chen, Christophe G. Giraud-Carrier, Guoren Wang

Complex Event-Participant Planning and Its Incremental Variant

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Mutually Beneficial Confluent Routing

Xinpeng Zhang, Yasuhito Asano, Masatoshi Yoshikawa

Mutually Beneficial Confluent Routing

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Ontology- and Sentiment-Aware Review Summarization

Nhat X. T. Le, Vagelis Hristidis, Neal Young

Ontology- and Sentiment-Aware Review Summarization

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IS2R: A System for Refining Reverse Top-k Queries

Qing Liu, Yunjun Gao, Linlin Zhou, Gang Chen

IS2R: A System for Refining Reverse Top-k Queries

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Density Based Clustering over Location Based Services

Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das

Density Based Clustering over Location Based Services

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Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop

Yosef Moatti, Eran Rom, Raúl Gracia Tinedo, Dalit Naor, Doron Chen, Josep Sampé, Marc Sánchez Artigas, Pedro García López, Filip Gluszak, Eric Deschdt, Francesco Pace, Daniele Venzano, Pietro Michiardi

Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop

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Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs

Son T. Mai, Martin Storgaard Dieu, Ira Assent, Jon Jacobsen, Jesper Kristensen, Mathias Birk

Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs

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Bring Order into the Samples: A Novel Scalable Method for Influence Maximization (Extended Abstract)

Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Chen Chen

Bring Order into the Samples: A Novel Scalable Method for Influence Maximization (Extended Abstract)

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Cross-Network Clustering and Cluster Ranking for Medical Diagnosis

Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis

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A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets

Zuozhi Wang, Flavio Bayer, Seungjin Lee, Kishore Narendran, Xuxi Pan, Qing Tang, Jimmy Wang, Chen Li

A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets

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The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract)

Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou

The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract)

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Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks

Chonggang Song, Wynne Hsu, Mong-Li Lee

Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks

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Modeling Scalability of Distributed Machine Learning

Alexander Ulanov, Andrey Simanovsky, Manish Marwah

Modeling Scalability of Distributed Machine Learning

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Community Search over Big Graphs: Models, Algorithms, and Opportunities

Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu

Community Search over Big Graphs: Models, Algorithms, and Opportunities

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Extended Characteristic Sets: Graph Indexing for SPARQL Query Optimization

Marios Meimaris, George Papastefanatos, Nikos Mamoulis, Ioannis Anagnostopoulos

Extended Characteristic Sets: Graph Indexing for SPARQL Query Optimization

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A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

Victor Amelkin, Petko Bogdanov, Ambuj K. Singh

A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

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Small Data

Oliver Kennedy, D. Richard Hipp, Stratos Idreos, Amélie Marian, Arnab Nandi, Carmela Troncoso, Eugene Wu

Small Data

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SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract)

Yung-Chun Chang, Chien Chin Chen, Wen-Lian Hsu

SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract)

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FuseM: Query-Centric Data Fusion on Structured Web Markup

Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze

FuseM: Query-Centric Data Fusion on Structured Web Markup

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Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics

Chuitian Rong, Chunbin Lin, Yasin N. Silva, Jianguo Wang, Wei Lu, Xiaoyong Du

Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics

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A Human-and-Machine Cooperative Framework for Entity Resolution with Quality Guarantees

Zhaoqiang Chen, Qun Chen, Zhanhuai Li

A Human-and-Machine Cooperative Framework for Entity Resolution with Quality Guarantees

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Secure KNN Queries over Encrypted Data: Dimensionality Is Not Always a Curse

Xinyu Lei, Alex X. Liu, Rui Li

Secure KNN Queries over Encrypted Data: Dimensionality Is Not Always a Curse

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Mother Smoking During Pregnancy and ADHD in Children

Jing (Melody) Yao

Mother Smoking During Pregnancy and ADHD in Children

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The Moving K Diversified Nearest Neighbor Query

Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang

The Moving K Diversified Nearest Neighbor Query

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Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data

Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo

Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data

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Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach

David Broneske, Veit Köppen, Gunter Saake, Martin Schäler

Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach

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K-Join: Knowledge-Aware Similarity Join

Zeyuan Shang, Yaxiao Liu, Guoliang Li, Jianhua Feng

K-Join: Knowledge-Aware Similarity Join

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K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines

Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh

K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines

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Answering Location-Aware Graph Reachability Queries on GeoSocial Data

Mohamed Sarwat, Yuhan Sun

Answering Location-Aware Graph Reachability Queries on GeoSocial Data

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Handling Uncertainty in Geo-Spatial Data

Andreas Züfle, Goce Trajcevski, Dieter Pfoser, Matthias Renz, Matthew T. Rice, Timothy Leslie, Paul L. Delamater, Tobias Emrich

Handling Uncertainty in Geo-Spatial Data

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Fairness in Group Recommendations in the Health Domain

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis

Fairness in Group Recommendations in the Health Domain

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Optimizing UNION ALL Join Queries in Teradata

Mohammed Al-Kateb, Paul Sinclair, Alain Crolotte, Lu Ma, Grace Au, Sanjay Nair

Optimizing UNION ALL Join Queries in Teradata

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SSD-Assisted Backup and Recovery for Database Systems

Yongseok Son, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom, Hyuck Han

SSD-Assisted Backup and Recovery for Database Systems

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Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing

Vinicius Oliverio, Omero Bendicto Poli-Neto

Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing

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Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract)

Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract)

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BWT Arrays and Mismatching Trees: A New Way for String Matching with k Mismatches

Yangjun Chen, Yujia Wu

BWT Arrays and Mismatching Trees: A New Way for String Matching with k Mismatches

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Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract)

Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract)

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Collective Travel Planning in Spatial Networks

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis

Collective Travel Planning in Spatial Networks

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TencentBoost: A Gradient Boosting Tree System with Parameter Server

Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang

TencentBoost: A Gradient Boosting Tree System with Parameter Server

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On Edge Classification in Networks with Structure and Content

Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao

On Edge Classification in Networks with Structure and Content

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Distance-Based Triple Reordering for SPARQL Query Optimization

Marios Meimaris, George Papastefanatos

Distance-Based Triple Reordering for SPARQL Query Optimization

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Smart Personalized Routing for Smart Cities

Abdeltawab M. Hendawi, Aqeel Rustum, Amr A. Ahmadain, David Hazel, Ankur Teredesai, Dev Oliver, Mohamed H. Ali, John A. Stankovic

Smart Personalized Routing for Smart Cities

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Fast Computation of Dense Temporal Subgraphs

Shuai Ma, Renjun Hu, Luoshu Wang, Xuelian Lin, Jinpeng Huai

Fast Computation of Dense Temporal Subgraphs

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Preserving-Ignoring Transformation Based Index for Approximate k Nearest Neighbor Search

Gang Hu, Jie Shao, Dongxiang Zhang, Yang Yang, Heng Tao Shen

Preserving-Ignoring Transformation Based Index for Approximate k Nearest Neighbor Search

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The Microsoft Reactive Framework Meets the Internet of Moving Things

Abdeltawab M. Hendawi, Jayant Gupta, Youying Shi, Hossam Fattah, Mohamed H. Ali

The Microsoft Reactive Framework Meets the Internet of Moving Things

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Streaming k-Means Clustering with Fast Queries

Yu Zhang, Kanat Tangwongsan, Srikanta Tirthapura

Streaming k-Means Clustering with Fast Queries

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Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine

Kasper Grud Skat Madsen, Yongluan Zhou, Jianneng Cao

Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine

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NOUS: Construction and Querying of Dynamic Knowledge Graphs

Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William Smith, Mathew Thomas

NOUS: Construction and Querying of Dynamic Knowledge Graphs

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Selective In-Place Appends for Real: Reducing Erases on Wear-prone DBMS Storage

Sergey Hardock, Ilia Petrov, Robert Gottstein, Alejandro P. Buchmann

Selective In-Place Appends for Real: Reducing Erases on Wear-prone DBMS Storage

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AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources

Patrick Tan, Yichao Zhou, Xinxin Huang, Giuseppe M. Mazzeo, Chelsea Ju

AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources

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Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

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Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search

Qiang Huang, Jianlin Feng, Qiong Fang

Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search

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SEDEX: Scalable Entity Preserving Data Exchange

Yoones A. Sekhavat, Jeffrey Parsons

SEDEX: Scalable Entity Preserving Data Exchange

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Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation

Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation

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A Generic Method for Accelerating LSH-Based Similarity Join Processing (Extended Abstract)

Chenyun Yu, Sarana Nutanong, Hangyu Li, Cong Wang, Xingliang Yuan

A Generic Method for Accelerating LSH-Based Similarity Join Processing (Extended Abstract)

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Skew-Resistant Graph Partitioning

Angen Zheng, Alexandros Labrinidis, Christos Faloutsos

Skew-Resistant Graph Partitioning

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AdaStorm: Resource Efficient Storm with Adaptive Configuration

Zujian Weng, Qi Guo, Chunkai Wang, Xiaofeng Meng, Bingsheng He

AdaStorm: Resource Efficient Storm with Adaptive Configuration

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PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects

Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong

PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects

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GQFast: Fast Graph Exploration with Context-Aware Autocompletion

Chunbin Lin, Jianguo Wang, Yannis Papakonstantinou

GQFast: Fast Graph Exploration with Context-Aware Autocompletion

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POLYTICS: Provenance-Based Analytics of Data-Centric Applications

Pierre Bourhis, Daniel Deutch, Yuval Moskovitch

POLYTICS: Provenance-Based Analytics of Data-Centric Applications

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Analyzing and Visualizing Scalar Fields on Graphs

Yang Zhang, Yusu Wang, Srinivasan Parthasarathy

Analyzing and Visualizing Scalar Fields on Graphs

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Demonstrating SolveDB: An SQL-Based DBMS for Optimization Applications

Laurynas Siksnys, Torben Bach Pedersen

Demonstrating SolveDB: An SQL-Based DBMS for Optimization Applications

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On Log-Structured Merge for Solid-State Drives

Risi Thonangi, Jun Yang

On Log-Structured Merge for Solid-State Drives

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Time Series Classification by Sequence Learning in All-Subsequence Space

Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim

Time Series Classification by Sequence Learning in All-Subsequence Space

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Author Comments: All source code and data available online (UCR benchmark and all our code is on GitHub).
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Towards a Unifying Attribute Based Access Control Approach for NoSQL Datastores

Pietro Colombo, Elena Ferrari

Towards a Unifying Attribute Based Access Control Approach for NoSQL Datastores

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Capturing the Moment: Lightweight Similarity Computations

Georgios Damaskinos, Rachid Guerraoui, Rhicheek Patra

Capturing the Moment: Lightweight Similarity Computations

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Privacy Preserving Anonymity for Periodical SRS Data Publishing

Jie-Teng Wang, Wen-Yang Lin

Privacy Preserving Anonymity for Periodical SRS Data Publishing

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Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering

Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering

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Direction-Aware Why-Not Spatial Keyword Top-k Queries

Lei Chen, Yafei Li, Jianliang Xu, Christian S. Jensen

Direction-Aware Why-Not Spatial Keyword Top-k Queries

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Adaptively Secure Conjunctive Query Processing over Encrypted Data for Cloud Computing

Rui Li, Alex X. Liu

Adaptively Secure Conjunctive Query Processing over Encrypted Data for Cloud Computing

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DV8: Interactive Analysis of Aviation Data

Behrooz Omidvar-Tehrani, Arnab Nandi, Nicholas Meyer, Dalton Flanagan, Seth Young

DV8: Interactive Analysis of Aviation Data

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A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries

Seokki Lee, Sven Köhler, Bertram Ludäscher, Boris Glavic

A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries

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Fast and Scalable Distributed Boolean Tensor Factorization

Namyong Park, Sejoon Oh, U. Kang

Fast and Scalable Distributed Boolean Tensor Factorization

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Joint User-Entity Representation Learning for Event Recommendation in Social Network

Lijun Tang, Eric Yi Liu

Joint User-Entity Representation Learning for Event Recommendation in Social Network

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Parallel Progressive Approach to Entity Resolution Using MapReduce

Yasser Altowim, Sharad Mehrotra

Parallel Progressive Approach to Entity Resolution Using MapReduce

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Posterior Snapshot Isolation

Xuan Zhou, Xin Zhou, Zhengtai Yu, Kian-Lee Tan

Posterior Snapshot Isolation

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A Learning-Based Service for Cost and Performance Management of Cloud Databases

Ryan Marcus, Sofiya Semenova, Olga Papaemmanouil

A Learning-Based Service for Cost and Performance Management of Cloud Databases

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Author Comments: This work is a demo of two approaches described in our prior work. These can be found here: https://rmarcus.info/pub/cidr2017.pdf ... and here: http://www.vldb.org/pvldb/vol9/p780-marcus.pdf
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Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search

Bo Tang, Man Lung Yiu, Kien A. Hua

Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search

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MASC: Automatic Sleep Stage Classification Based on Brain and Myoelectric Signals

Yuta Suzuki, Makito Sato, Hiroaki Shiokawa, Masashi Yanagisawa, Hiroyuki Kitagawa

MASC: Automatic Sleep Stage Classification Based on Brain and Myoelectric Signals

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Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

Guoyang Chen, Yufei Ding, Xipeng Shen

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

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Survival Topic Models for Predicting Outcomes for Trauma Patients

Yuanyang Zhang, Richard M. Jiang, Linda R. Petzold

Survival Topic Models for Predicting Outcomes for Trauma Patients

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GscalerCloud: A Web-Based Graph Scaling Service

J. W. Zhang, Anwesha Mal, Y. C. Tay

GscalerCloud: A Web-Based Graph Scaling Service

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Ontology-Based Approach for Academic Evaluation System

Siti Aminah, Iis Afriyanti, Adila Krisnadhi

Ontology-Based Approach for Academic Evaluation System

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A Comparative Study of Log-Structured Merge-Tree-Based Spatial Indexes for Big Data

Young-Seok Kim, Taewoo Kim, Michael J. Carey, Chen Li

A Comparative Study of Log-Structured Merge-Tree-Based Spatial Indexes for Big Data

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The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks

Ilias Leontiadis, Joan Serrà, Alessandro Finamore, Giorgos Dimopoulos, Konstantina Papagiannaki

The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks

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Secure and Efficient Query Processing over Hybrid Clouds

Kerim Yasin Oktay, Murat Kantarcioglu, Sharad Mehrotra

Secure and Efficient Query Processing over Hybrid Clouds

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SPATE: Compacting and Exploring Telco Big Data

Constantinos Costa, Georgios Chatzimilioudis, Demetrios Zeinalipour-Yazti, Mohamed F. Mokbel

SPATE: Compacting and Exploring Telco Big Data

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IF-Matching: Towards Accurate Map-Matching with Information Fusion

Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, Heng Tao Shen

IF-Matching: Towards Accurate Map-Matching with Information Fusion

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Feisu: Fast Query Execution over Heterogeneous Data Sources on Large-Scale Clusters

An Qin, Yuan Yuan, Dai Tan, Pengyu Sun, Xiang Zhang, Hao Cao, Rubao Lee, Xiaodong Zhang

Feisu: Fast Query Execution over Heterogeneous Data Sources on Large-Scale Clusters

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Prediction-Based Task Assignment in Spatial Crowdsourcing

Peng Cheng, Xiang Lian, Lei Chen, Cyrus Shahabi

Prediction-Based Task Assignment in Spatial Crowdsourcing

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Mining Precise-Positioning Episode Rules from Event Sequences

Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He

Mining Precise-Positioning Episode Rules from Event Sequences

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Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources

Justin Wood, Patrick Tan, Wei Wang, Corey W. Arnold

Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources

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Crowdsourced Data Management: A Survey

Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin

Crowdsourced Data Management: A Survey

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From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation

Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui, Kian-Lee Tan

From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation

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On Recommending Evolution Measures: A Human-Aware Approach

Kostas Stefanidis, Haridimos Kondylakis, Georgia Troullinou

On Recommending Evolution Measures: A Human-Aware Approach

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Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond

Jia Yu, Raha Moraffah, Mohamed Sarwat

Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond

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Trichromatic Online Matching in Real-Time Spatial Crowdsourcing

Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu

Trichromatic Online Matching in Real-Time Spatial Crowdsourcing

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Anomaly Detection in Large Databases Using Behavioral Patterning

Hanna Mazzawi, Gal Dalaly, David Rozenblatz, Liat Ein-Dor, Matan Ninio, Ofer Lavi

Anomaly Detection in Large Databases Using Behavioral Patterning

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PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy

Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy

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Spinner: Scalable Graph Partitioning in the Cloud

Claudio Martella, Dionysios Logothetis, Andreas Loukas, Georgos Siganos

Spinner: Scalable Graph Partitioning in the Cloud

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Enabling Real-Time Drug Abuse Detection in Tweets

Nhathai Phan, Soon Ae Chun, Manasi Bhole, James Geller

Enabling Real-Time Drug Abuse Detection in Tweets

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A Collective, Probabilistic Approach to Schema Mapping

Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor

A Collective, Probabilistic Approach to Schema Mapping

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TABOO: Detecting Unstructured Sensitive Information Using Recursive Neural Networks

Jan Neerbek, Ira Assent, Peter Dolog

TABOO: Detecting Unstructured Sensitive Information Using Recursive Neural Networks

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Improving Predictable Shared-Disk Clusters Performance for Database Clouds

Anjan Kumar Amirishetty, Yunrui Li, Tolga Yurek, Mahesh Girkar, Wilson Chan, Graham Ivey, Vsevolod Panteleenko, Ken Wong

Improving Predictable Shared-Disk Clusters Performance for Database Clouds

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UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph

Xiongcai Luo, Jun Gao, Chang Zhou, Jeffrey Xu Yu

UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph

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Robust Power Line Outage Detection with Unreliable Phasor Measurements

Jose Cordova-Garcia, Xin Wang

Robust Power Line Outage Detection with Unreliable Phasor Measurements

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NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services

Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services

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Data Science Education: We're Missing the Boat, Again

Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman

Data Science Education: We're Missing the Boat, Again

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A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma

Dimitris Stripelis, José Luis Ambite, Yao-Yi Chiang, Sandrah P. Eckel, Rima Habre

A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma

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Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

Vineet K. Raghu, Xiaoyu Ge, Panos K. Chrysanthis, Panayiotis V. Benos

Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis

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Real-Time Novel Event Detection from Social Media

Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu

Real-Time Novel Event Detection from Social Media

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Twitter Heron: Towards Extensible Streaming Engines

Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang

Twitter Heron: Towards Extensible Streaming Engines

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Maximizing Acceptance in Rejection-aware Spatial Crowdsourcing

Libin Zheng, Lei Chen

Maximizing Acceptance in Rejection-aware Spatial Crowdsourcing

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Understanding the Security Challenges of Oblivious Cloud Storage with Asynchronous Accesses

Cetin Sahin, Aaron Magat, Victor Zakhary, Amr El Abbadi, Huijia (Rachel) Lin, Stefano Tessaro

Understanding the Security Challenges of Oblivious Cloud Storage with Asynchronous Accesses

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SocialLens: Searching and Browsing Communities by Content and Interaction

HongYun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang

SocialLens: Searching and Browsing Communities by Content and Interaction

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Data Management Systems on Future Hardware: Challenges and Opportunities

Bingsheng He

Data Management Systems on Future Hardware: Challenges and Opportunities

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Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract)

Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract)

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Joint Gaussian Based Measures for Multiple-Instance Learning

Linfei Zhou, Claudia Plant, Christian Böhm

Joint Gaussian Based Measures for Multiple-Instance Learning

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DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures

Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua

DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures

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A Mixed Generative-Discriminative Based Hashing Method

Qi Zhang, Yang Wang, Jin Qian, Binbin Deng, Xuanjing Huang

A Mixed Generative-Discriminative Based Hashing Method

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Boosting Information Spread: An Algorithmic Approach

Yishi Lin, Wei Chen, John C. S. Lui

Boosting Information Spread: An Algorithmic Approach

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Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation

Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation

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Automated Personalized Feedback in Introductory Java Programming MOOCs

Victor J. Marin, Tobin Pereira, Srinivas Sridharan, Carlos R. Rivero

Automated Personalized Feedback in Introductory Java Programming MOOCs

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Query Optimizations over Decentralized RDF Graphs

Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis

Query Optimizations over Decentralized RDF Graphs

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Efficient Exploration of Telco Big Data with Compression and Decaying

Constantinos Costa, Georgios Chatzimilioudis, Demetrios Zeinalipour-Yazti, Mohamed F. Mokbel

Efficient Exploration of Telco Big Data with Compression and Decaying

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Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications

Chao Zhang, Quan Yuan, Jiawei Han

Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications

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Mining Suspicious Tax Evasion Groups in Big Data

Feng Tian, Tian Lan, Qinghua Zheng, Kuo-Ming Chao, Nick Godwin, Nazaraf Shah, Fan Zhang

Mining Suspicious Tax Evasion Groups in Big Data

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DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks

Dong Wang, Wei Cao, Jian Li, Jieping Ye

DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks

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BigBench V2: The New and Improved BigBench

Ahmad Ghazal, Todor Ivanov, Pekka Kostamaa, Alain Crolotte, Ryan Voong, Mohammed Al-Kateb, Waleed Ghazal, Roberto V. Zicari

BigBench V2: The New and Improved BigBench

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Most Influential Community Search over Large Social Networks

Jianxin Li, Xinjue Wang, Ke Deng, Xiaochun Yang, Timos Sellis, Jeffrey Xu Yu

Most Influential Community Search over Large Social Networks

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DistributedLog: A High Performance Replicated Log Service

Sijie Guo, Robin Dhamankar, Leigh Stewart

DistributedLog: A High Performance Replicated Log Service

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Tracking Matrix Approximation over Distributed Sliding Windows

Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin

Tracking Matrix Approximation over Distributed Sliding Windows

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Adaptive Topic Follow-Up on Twitter

Abdulrahman Alsaudi, Mehdi Sadri, Yasser Altowim, Sharad Mehrotra

Adaptive Topic Follow-Up on Twitter

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Database System Support for Personalized Recommendation Applications

Mohamed Sarwat, Raha Moraffah, Mohamed F. Mokbel, James L. Avery

Database System Support for Personalized Recommendation Applications

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Cleaning Relations Using Knowledge Bases

Shuang Hao, Nan Tang, Guoliang Li, Jian Li

Cleaning Relations Using Knowledge Bases

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Dynamic Statistics Collection in the Teradata Unified Data Architecture

Sung Jin Kim, Mohammed Al-Kateb, Paul Sinclair, Alain Crolotte, Chengyang Zhang, Linda Rose

Dynamic Statistics Collection in the Teradata Unified Data Architecture

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In-Memory Distributed Matrix Computation Processing and Optimization

Yongyang Yu, MingJie Tang, Walid G. Aref, Qutaibah M. Malluhi, Mostafa M. Abbas, Mourad Ouzzani

In-Memory Distributed Matrix Computation Processing and Optimization

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Multi-Query Optimization for Complex Event Processing in SAP ESP

Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He

Multi-Query Optimization for Complex Event Processing in SAP ESP

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Answering Top-k Exemplar Trajectory Queries

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Mark Sanderson, Xiaolin Qin

Answering Top-k Exemplar Trajectory Queries

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An Efficient Framework for Exact Set Similarity Search Using Tree Structure Indexes

Yong Zhang, Xiuxing Li, Jin Wang, Ying Zhang, Chunxiao Xing, Xiaojie Yuan

An Efficient Framework for Exact Set Similarity Search Using Tree Structure Indexes

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Characterizing Organ Donation Awareness from Social Media

Diogo Ferreira Pacheco, Diego Pinheiro, Martin Cadeiras, Ronaldo Menezes

Characterizing Organ Donation Awareness from Social Media

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Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals

Tania K. Roblot, Sebastian Link

Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals

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Reverse Top-k Geo-Social Keyword Queries in Road Networks

Jingwen Zhao, Yunjun Gao, Gang Chen, Christian S. Jensen, Rui Chen, Deng Cai

Reverse Top-k Geo-Social Keyword Queries in Road Networks

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Bridging Feature Selection and Extraction: Compound Feature Generation (Extended Abstract)

Sreevani, C. A. Murthy

Bridging Feature Selection and Extraction: Compound Feature Generation (Extended Abstract)

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Efficient Scalable Accurate Regression Queries in In-DBMS Analytics

Christos Anagnostopoulos, Peter Triantafillou

Efficient Scalable Accurate Regression Queries in In-DBMS Analytics

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Multi-Tactic Distance-Based Outlier Detection

Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh

Multi-Tactic Distance-Based Outlier Detection

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Privacy Cyborg: Towards Protecting the Privacy of Social Media Users

Theodore Georgiou, Amr El Abbadi, Xifeng Yan

Privacy Cyborg: Towards Protecting the Privacy of Social Media Users

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Judgment Analysis Based on Crowdsourced Opinions

Sujoy Chatterjee, Anirban Mukhopadhyay, Malay Bhattacharyya

Judgment Analysis Based on Crowdsourced Opinions

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Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Jianting Zhang, Simin You, Le Gruenwald

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

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Multiple-Query Optimization of Regular Path Queries

Zahid Abul-Basher

Multiple-Query Optimization of Regular Path Queries

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Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy

Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy

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IRanker: Query-Specific Ranking of Reviewed Items

Moloud Shahbazi, Matthew T. Wiley, Vagelis Hristidis

IRanker: Query-Specific Ranking of Reviewed Items

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Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management

Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris

Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management

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Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database

Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, Alan Halverson

Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database

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Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream

Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Z. J. Fu, Lisi Chen

Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream

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Influence Maximization in Trajectory Databases

Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu, Kian-Lee Tan

Influence Maximization in Trajectory Databases

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RELNA: Ranking Attributes in Social Networks to Detect Overlapping Communities Efficiently

Bella Martínez-Seis

RELNA: Ranking Attributes in Social Networks to Detect Overlapping Communities Efficiently

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Parallelizing Skip Lists for In-Memory Multi-Core Database Systems

Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong

Parallelizing Skip Lists for In-Memory Multi-Core Database Systems

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Landslide Information Service Based on Composition of Physical and Social Sensors

Aibek Musaev, Calton Pu

Landslide Information Service Based on Composition of Physical and Social Sensors

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Semantic Bootstrapping: A Theoretical Perspective

Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu

Semantic Bootstrapping: A Theoretical Perspective

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Quantifying Differential Privacy under Temporal Correlations

Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong

Quantifying Differential Privacy under Temporal Correlations

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Vibration Analysis for IoT Enabled Predictive Maintenance

Deokwoo Jung, Zhenjie Zhang, Marianne Winslett

Vibration Analysis for IoT Enabled Predictive Maintenance

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Cleaning Data with Forbidden Itemsets

Joeri Rammelaere, Floris Geerts, Bart Goethals

Cleaning Data with Forbidden Itemsets

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KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics

Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht

KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics

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TT-Join: Efficient Set Containment Join

Jianye Yang, Wenjie Zhang, Shiyu Yang, Ying Zhang, Xuemin Lin

TT-Join: Efficient Set Containment Join

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Providing Enhanced Functionality for Data Store Clients

Arun Iyengar

Providing Enhanced Functionality for Data Store Clients

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Demonstration of Kite: A Scalable System for Microblogs Data Management

Amr Magdy, Mohamed F. Mokbel

Demonstration of Kite: A Scalable System for Microblogs Data Management

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Keynote: Research with Real Users

Magda Balazinska

Keynote: Research with Real Users

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gMark: Schema-Driven Generation of Graphs and Queries

Guillaume Bagan, Angela Bonifati, Radu Ciucanu, George H. L. Fletcher, Aurélien Lemay, Nicky Advokaat

gMark: Schema-Driven Generation of Graphs and Queries

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Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine's Perspective

Marcus Pinnecke, David Broneske, Gabriel Campero Durand, Gunter Saake

Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine's Perspective

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LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis

Xuyun Zhang, Wan-Chun Dou, Qiang He, Rui Zhou, Christopher Leckie, Kotagiri Ramamohanarao, Zoran A. Salcic

LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis

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Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries

Farhana Murtaza Choudhury, Zhifeng Bao, J. Shane Culpepper, Timos Sellis

Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries

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Tradeoffs and Considerations in the Design of Accelerators for Database Applications

Roger Moussalli

Tradeoffs and Considerations in the Design of Accelerators for Database Applications

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Leveraging Data and People to Accelerate Data Science

Laura M. Haas

Leveraging Data and People to Accelerate Data Science

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Secure Skyline Queries on Cloud Platform

Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei

Secure Skyline Queries on Cloud Platform

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Correcting and Speeding-Up Bounds for Non-Uniform Graph Edit Distance

David B. Blumenthal, Johann Gamper

Correcting and Speeding-Up Bounds for Non-Uniform Graph Edit Distance

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PolyFuse: A Large-Scale Hybrid Data Fusion System

Michael N. Gubanov

PolyFuse: A Large-Scale Hybrid Data Fusion System

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HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases

Saad Bin Suhaim, Nan Zhang, Gautam Das, Ali Jaoua

HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases

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Tuning Crowdsourced Human Computation

Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, H. V. Jagadish

Tuning Crowdsourced Human Computation

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Frequency-Hiding Dependency-Preserving Encryption for Outsourced Databases

Boxiang Dong, Wendy Hui Wang

Frequency-Hiding Dependency-Preserving Encryption for Outsourced Databases

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SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items

Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie

SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items

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Proxies for Shortest Path and Distance Queries

Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai

Proxies for Shortest Path and Distance Queries

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Hardware Acceleration of Database Analytics

Evangelia A. Sitaridi

Hardware Acceleration of Database Analytics

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Effects of User Interactions on Online Social Recommender Systems

Anahita Davoudi

Effects of User Interactions on Online Social Recommender Systems

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Searching Time Series with Invariance to Large Amounts of Uniform Scaling

Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin

Searching Time Series with Invariance to Large Amounts of Uniform Scaling

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Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee

Raja Subramaniam Thangaraj, Koyel Mukherjee, Gurulingesh Raravi, Asmita Metrewar, Narendra Annamaneni, Koushik Chattopadhyay

Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee

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ACTS: An Active Learning Method for Time Series Classification

Fengchao Peng, Qiong Luo, Lionel M. Ni

ACTS: An Active Learning Method for Time Series Classification

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MAROON+: A System for Profiling Entities over Time

Furong Li, Mong-Li Lee, Wynne Hsu

MAROON+: A System for Profiling Entities over Time

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Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets

Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen

Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets

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Mosaics: Stratosphere, Flink and Beyond

Volker Markl

Mosaics: Stratosphere, Flink and Beyond

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BEAMS: Bounded Event Detection in Graph Streams

Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge

BEAMS: Bounded Event Detection in Graph Streams

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CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement

Yunfan Chen, Lei Chen, Chen Jason Zhang

CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement

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Scalable Informative Rule Mining

Guoyao Feng, Lukasz Golab, Divesh Srivastava

Scalable Informative Rule Mining

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Recommendation for Repeat Consumption from User Implicit Feedback

Jun Chen, Chaokun Wang, Jianmin Wang, Philip S. Yu

Recommendation for Repeat Consumption from User Implicit Feedback

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Towards Unified Data and Lifecycle Management for Deep Learning

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

Towards Unified Data and Lifecycle Management for Deep Learning

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Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce

Yanfeng Zhang, Shimin Chen, Ge Yu

Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce

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Processing Declarative Queries through Generating Imperative Code in Managed Runtimes

Stratis D. Viglas

Processing Declarative Queries through Generating Imperative Code in Managed Runtimes

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Similarity Search in Graph Databases: A Multi-Layered Indexing Approach

Yongjiang Liang, Peixiang Zhao

Similarity Search in Graph Databases: A Multi-Layered Indexing Approach

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Scalable Linear Algebra on a Relational Database System

Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine

Scalable Linear Algebra on a Relational Database System

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V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints

Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao

V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints

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Clustering with Adaptive Manifold Structure Learning

Zhao Kang, Chong Peng, Qiang Cheng

Clustering with Adaptive Manifold Structure Learning

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The Challenges of Global-Scale Data Management

Faisal Nawab, Divyakant Agrawal, Amr El Abbadi

The Challenges of Global-Scale Data Management

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Provenance-Aware Query Optimization

Xing Niu, Raghav Kapoor, Boris Glavic, Dieter Gawlick, Zhen Hua Liu, Venkatesh Radhakrishnan

Provenance-Aware Query Optimization

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Sampling and Reconstruction Using Bloom Filters

Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath

Sampling and Reconstruction Using Bloom Filters

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A Novel Cost-Based Model for Data Repairing

Shuang Hao, Nan Tang, Guoliang Li, Jian He, Na Ta, Jianhua Feng

A Novel Cost-Based Model for Data Repairing

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Making Big Data Simple with dashDB Local

Sam Lightstone, Russ Ohanian, Michael Haide, James Cho, Michael Springgay, Torsten Steinbach

Making Big Data Simple with dashDB Local

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DANCE: Data Cleaning with Constraints and Experts

Ahmad Assadi, Tova Milo, Slava Novgorodov

DANCE: Data Cleaning with Constraints and Experts

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Efficient Multistream Classification Using Direct Density Ratio Estimation

Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal

Efficient Multistream Classification Using Direct Density Ratio Estimation

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Scalable Processing of Massive Uncertain Graph Data: A Simultaneous Processing Approach

Zhaonian Zou, Faming Li, Jianzhong Li, Yingshu Li

Scalable Processing of Massive Uncertain Graph Data: A Simultaneous Processing Approach

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Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes

Chunyao Song, Xuanming Liu, Tingjian Ge

Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes

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Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage

Junbeom Hur, Dongyoung Koo, Young-joo Shin, Kyungtae Kang

Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage

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LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines

Klaus Broelemann, Thomas Gottron, Gjergji Kasneci

LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines

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ModelHub: Deep Learning Lifecycle Management

Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande

ModelHub: Deep Learning Lifecycle Management

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A Fast Order-Based Approach for Core Maintenance

Yikai Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin

A Fast Order-Based Approach for Core Maintenance

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Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce

Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow

Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce

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Personalized Influential Topic Search via Social Network Summarization

Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Yi Chen, Timos Sellis, J. Shane Culpepper

Personalized Influential Topic Search via Social Network Summarization

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Enabling Effective Utilization of GPUs for Data Management Systems

Xiaodong Zhang

Enabling Effective Utilization of GPUs for Data Management Systems

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Parallel SPARQL Query Optimization

Buwen Wu, Yongluan Zhou, Hai Jin, Amol Deshpande

Parallel SPARQL Query Optimization

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A Mortality Study for ICU Patients Using Bursty Medical Events

Luca Bonomi, Xiaoqian Jiang

A Mortality Study for ICU Patients Using Bursty Medical Events

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Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-Answers

Yunjun Gao, Qing Liu, Gang Chen, Linlin Zhou, Baihua Zheng

Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-Answers

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Network Backboning with Noisy Data

Michele Coscia, Frank M. H. Neffke

Network Backboning with Noisy Data

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Mining Maximal Cliques on Dynamic Graphs Efficiently by Local Strategies

Shengli Sun, Yimo Wang, Weilong Liao, Wei Wang

Mining Maximal Cliques on Dynamic Graphs Efficiently by Local Strategies

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Efficient Cache-Supported Path Planning on Roads (Extended Abstract)

Ying Zhang, Yu-Ling Hsueh, Wang-Chien Lee, Yi-Hao Jhang

Efficient Cache-Supported Path Planning on Roads (Extended Abstract)

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Scalable Top-K Structural Diversity Search

Lijun Chang, Chen Zhang, Xuemin Lin, Lu Qin

Scalable Top-K Structural Diversity Search

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Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors

Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze

Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors

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Distance-Aware Encoding of Numerical Values for Privacy-Preserving Record Linkage

Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios

Distance-Aware Encoding of Numerical Values for Privacy-Preserving Record Linkage

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Web-Scale Blocking, Iterative and Progressive Entity Resolution

Kostas Stefanidis, Vassilis Christophides, Vasilis Efthymiou

Web-Scale Blocking, Iterative and Progressive Entity Resolution

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