ACM International Conference on Management of Data, SIGMOD 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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Transaction Repair for Multi-Version Concurrency Control

Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch

Transaction Repair for Multi-Version Concurrency Control

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Graphflow: An Active Graph Database

Chathura Kankanamge, Siddhartha Sahu, Amine Mhedbhi, Jeremy Chen, Semih Salihoglu

Graphflow: An Active Graph Database

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QIRANA: A Framework for Scalable Query Pricing

Shaleen Deep, Paraschos Koutris

QIRANA: A Framework for Scalable Query Pricing

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Synthesizing Extraction Rules from User Examples with SEER

Maeda F. Hanafi, Azza Abouzied, Laura Chiticariu, Yunyao Li

Synthesizing Extraction Rules from User Examples with SEER

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Landmark Indexing for Evaluation of Label-Constrained Reachability Queries

Lucien D. J. Valstar, George H. L. Fletcher, Yuichi Yoshida

Landmark Indexing for Evaluation of Label-Constrained Reachability Queries

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Foofah: Transforming Data By Example

Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish

Foofah: Transforming Data By Example

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Bringing Modular Concurrency Control to the Next Level

Chunzhi Su, Natacha Crooks, Cong Ding, Lorenzo Alvisi, Chao Xie

Bringing Modular Concurrency Control to the Next Level

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Efficient Ad-Hoc Graph Inference and Matching in Biological Databases

Xiang Lian, Dongchul Kim

Efficient Ad-Hoc Graph Inference and Matching in Biological Databases

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Crowdsourced Data Management: Overview and Challenges

Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng

Crowdsourced Data Management: Overview and Challenges

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Scaling Locally Linear Embedding

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Scaling Locally Linear Embedding

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VisualCloud Demonstration: A DBMS for Virtual Reality

Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze, Alvin Cheung

VisualCloud Demonstration: A DBMS for Virtual Reality

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The Best of Both Worlds: Big Data Programming with Both Productivity and Performance

Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng

The Best of Both Worlds: Big Data Programming with Both Productivity and Performance

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Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks

Maaz Bin Safeer Ahmad, Alvin Cheung

Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks

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Interactive Query Synthesis from Input-Output Examples

Chenglong Wang, Alvin Cheung, Rastislav Bodík

Interactive Query Synthesis from Input-Output Examples

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A Demonstration of Interactive Analysis of Performance Measurements with Viska

Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu

A Demonstration of Interactive Analysis of Performance Measurements with Viska

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DAG Reduction: Fast Answering Reachability Queries

Junfeng Zhou, Shijie Zhou, Jeffrey Xu Yu, Hao Wei, Ziyang Chen, Xian Tang

DAG Reduction: Fast Answering Reachability Queries

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Solving the Join Ordering Problem via Mixed Integer Linear Programming

Immanuel Trummer, Christoph Koch

Solving the Join Ordering Problem via Mixed Integer Linear Programming

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Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling

Lijun Chang, Wei Li, Wenjie Zhang

Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling

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Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services

Sanjib Das, Paul Suganthan G. C., AnHai Doan, Jeffrey F. Naughton, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra, Youngchoon Park

Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services

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Incremental Graph Computations: Doable and Undoable

Wenfei Fan, Chunming Hu, Chao Tian

Incremental Graph Computations: Doable and Undoable

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Determining the Impact Regions of Competing Options in Preference Space

Bo Tang, Kyriakos Mouratidis, Man Lung Yiu

Determining the Impact Regions of Competing Options in Preference Space

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Enabling Signal Processing over Data Streams

Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein

Enabling Signal Processing over Data Streams

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BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications

Darko Makreshanski, Jana Giceva, Claude Barthels, Gustavo Alonso

BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications

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An Experimental Study of Bitmap Compression vs. Inverted List Compression

Jianguo Wang, Chunbin Lin, Yannis Papakonstantinou, Steven Swanson

An Experimental Study of Bitmap Compression vs. Inverted List Compression

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All-in-One: Graph Processing in RDBMSs Revisited

Kangfei Zhao, Jeffrey Xu Yu

All-in-One: Graph Processing in RDBMSs Revisited

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Heterogeneity-aware Distributed Parameter Servers

Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu

Heterogeneity-aware Distributed Parameter Servers

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A Demonstration of Lusail: Querying Linked Data at Scale

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

A Demonstration of Lusail: Querying Linked Data at Scale

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Fast Failure Recovery for Main-Memory DBMSs on Multicores

Yingjun Wu, Wentian Guo, Chee-Yong Chan, Kian-Lee Tan

Fast Failure Recovery for Main-Memory DBMSs on Multicores

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Scalable Kernel Density Classification via Threshold-Based Pruning

Edward Gan, Peter Bailis

Scalable Kernel Density Classification via Threshold-Based Pruning

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Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges

Ashwin Machanavajjhala, Xi He, Michael Hay

Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges

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Approximate Query Processing for Interactive Data Science

Tim Kraska

Approximate Query Processing for Interactive Data Science

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OrpheusDB: A Lightweight Approach to Relational Dataset Versioning

Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran

OrpheusDB: A Lightweight Approach to Relational Dataset Versioning

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Pufferfish Privacy Mechanisms for Correlated Data

Shuang Song, Yizhen Wang, Kamalika Chaudhuri

Pufferfish Privacy Mechanisms for Correlated Data

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Discovering Your Selling Points: Personalized Social Influential Tags Exploration

Yuchen Li, Ju Fan, Dongxiang Zhang, Kian-Lee Tan

Discovering Your Selling Points: Personalized Social Influential Tags Exploration

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BEAS: Bounded Evaluation of SQL Queries

Yang Cao, Wenfei Fan, Yanghao Wang, Tengfei Yuan, Yanchao Li, Laura Yu Chen

BEAS: Bounded Evaluation of SQL Queries

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FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems

Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis

FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems

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Extracting and Analyzing Hidden Graphs from Relational Databases

Konstantinos Xirogiannopoulos, Amol Deshpande

Extracting and Analyzing Hidden Graphs from Relational Databases

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Monkey: Optimal Navigable Key-Value Store

Niv Dayan, Manos Athanassoulis, Stratos Idreos

Monkey: Optimal Navigable Key-Value Store

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TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model

Himchan Park, Min-Soo Kim

TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model

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Living in Parallel Realities: Co-Existing Schema Versions with a Bidirectional Database Evolution Language

Kai Herrmann, Hannes Voigt, Andreas Behrend, Jonas Rausch, Wolfgang Lehner

Living in Parallel Realities: Co-Existing Schema Versions with a Bidirectional Database Evolution Language

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Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments

Ngai Meng Kou, Yan Li, Hao Wang, Leong Hou U, Zhiguo Gong

Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments

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Waldo: An Adaptive Human Interface for Crowd Entity Resolution

Vasilis Verroios, Hector Garcia-Molina, Yannis Papakonstantinou

Waldo: An Adaptive Human Interface for Crowd Entity Resolution

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Graph Exploration: From Users to Large Graphs

Davide Mottin, Emmanuel Müller

Graph Exploration: From Users to Large Graphs

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Author Comments: This paper is a brief survey on the main technologies for graph exploration, presented as a tutorial in SIGMOD 2017. Graph exploration allows easy access to graph data without complex declarative languages and supports visualization tools for fine-grained analyses.
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Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study

Abhishek Roy, Yanlei Diao, Uday Evani, Avinash Abhyankar, Clinton Howarth, Rémi Le Priol, Toby Bloom

Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study

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A General-Purpose Counting Filter: Making Every Bit Count

Prashant Pandey, Michael A. Bender, Rob Johnson, Robert Patro

A General-Purpose Counting Filter: Making Every Bit Count

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In-Browser Interactive SQL Analytics with Afterburner

Kareem El Gebaly, Jimmy Lin

In-Browser Interactive SQL Analytics with Afterburner

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QUILTS: Multidimensional Data Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves

Shoji Nishimura, Haruo Yokota

QUILTS: Multidimensional Data Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves

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Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets

Yeukyin Chan, Fernando Chirigati, Harish Doraiswamy, Cláudio T. Silva, Juliana Freire

Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets

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Data Management in Machine Learning: Challenges, Techniques, and Systems

Arun Kumar, Matthias Boehm, Jun Yang

Data Management in Machine Learning: Challenges, Techniques, and Systems

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Natural Language Data Management and Interfaces: Recent Development and Open Challenges

Yunyao Li, Davood Rafiei

Natural Language Data Management and Interfaces: Recent Development and Open Challenges

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BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart

Jinhong Jung, Namyong Park, Lee Sael, U. Kang

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart

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Visual Graph Query Construction and Refinement

Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau

Visual Graph Query Construction and Refinement

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Distributed Provenance Compression

Chen Chen, Harshal Tushar Lehri, Lay Kuan Loh, Anupam Alur, Limin Jia, Boon Thau Loo, Wenchao Zhou

Distributed Provenance Compression

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A Top-Down Approach to Achieving Performance Predictability in Database Systems

Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, Thomas F. Wenisch

A Top-Down Approach to Achieving Performance Predictability in Database Systems

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BLOCKBENCH: A Framework for Analyzing Private Blockchains

Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan

BLOCKBENCH: A Framework for Analyzing Private Blockchains

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Spanner: Becoming a SQL System

David F. Bacon, Nathan Bales, Nicolas Bruno, Brian F. Cooper, Adam Dickinson, Andrew Fikes, Campbell Fraser, Andrey Gubarev, Milind Joshi, Eugene Kogan, Alexander Lloyd, Sergey Melnik, Rajesh Rao, David Shue, Christopher Taylor, Marcel van der Holst, Dale Woodford

Spanner: Becoming a SQL System

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Schema Independent Relational Learning

Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei

Schema Independent Relational Learning

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MacroBase: Prioritizing Attention in Fast Data

Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri

MacroBase: Prioritizing Attention in Fast Data

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ACIDRain: Concurrency-Related Attacks on Database-Backed Web Applications

Todd Warszawski, Peter Bailis

ACIDRain: Concurrency-Related Attacks on Database-Backed Web Applications

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The Next 700 Transaction Processing Engines

Anastasia Ailamaki

The Next 700 Transaction Processing Engines

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What Are We Doing With Our Lives?: Nobody Cares About Our Concurrency Control Research

Andrew Pavlo

What Are We Doing With Our Lives?: Nobody Cares About Our Concurrency Control Research

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Automatic Database Management System Tuning Through Large-scale Machine Learning

Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang

Automatic Database Management System Tuning Through Large-scale Machine Learning

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Data Structure Engineering For Byte-Addressable Non-Volatile Memory

Ismail Oukid, Wolfgang Lehner

Data Structure Engineering For Byte-Addressable Non-Volatile Memory

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QFix: Diagnosing Errors through Query Histories

Xiaolan Wang, Alexandra Meliou, Eugene Wu

QFix: Diagnosing Errors through Query Histories

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Cicada: Dependably Fast Multi-Core In-Memory Transactions

Hyeontaek Lim, Michael Kaminsky, David G. Andersen

Cicada: Dependably Fast Multi-Core In-Memory Transactions

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Building Structured Databases of Factual Knowledge from Massive Text Corpora

Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han

Building Structured Databases of Factual Knowledge from Massive Text Corpora

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The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates

Muhammad Idris, Martín Ugarte, Stijn Vansummeren

The Dynamic Yannakakis Algorithm: Compact and Efficient Query Processing Under Updates

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Interactive Time Series Analytics Powered by ONEX

Rodica Neamtu, Ramoza Ahsan, Charles Lovering, Cuong Nguyen, Elke A. Rundensteiner, Gábor N. Sárközy

Interactive Time Series Analytics Powered by ONEX

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Debugging Big Data Analytics in Spark with BigDebug

Muhammad Ali Gulzar, Matteo Interlandi, Tyson Condie, Miryung Kim

Debugging Big Data Analytics in Spark with BigDebug

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Two-Level Sampling for Join Size Estimation

Yu Chen, Ke Yi

Two-Level Sampling for Join Size Estimation

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Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative

Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das

Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative

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Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics

Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber

Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics

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The BUDS Language for Distributed Bayesian Machine Learning

Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine

The BUDS Language for Distributed Bayesian Machine Learning

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Wide Table Layout Optimization based on Column Ordering and Duplication

Haoqiong Bian, Ying Yan, Wenbo Tao, Liang Jeff Chen, Yueguo Chen, Xiaoyong Du, Thomas Moscibroda

Wide Table Layout Optimization based on Column Ordering and Duplication

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Virtualized Network Service Topology Exploration Using Nepal

Pramod A. Jamkhedkar, Theodore Johnson, Yaron Kanza, Aman Shaikh, N. K. Shankaranarayanan, Vladislav Shkapenyuk, Gordon Woodhull

Virtualized Network Service Topology Exploration Using Nepal

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From In-Place Updates to In-Place Appends: Revisiting Out-of-Place Updates on Flash

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

From In-Place Updates to In-Place Appends: Revisiting Out-of-Place Updates on Flash

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Q*cert: A Platform for Implementing and Verifying Query Compilers

Joshua S. Auerbach, Martin Hirzel, Louis Mandel, Avraham Shinnar, Jérôme Siméon

Q*cert: A Platform for Implementing and Verifying Query Compilers

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Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures

Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent

Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures

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Snorkel: Fast Training Set Generation for Information Extraction

Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher Ré

Snorkel: Fast Training Set Generation for Information Extraction

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Data Profiling: A Tutorial

Ziawasch Abedjan, Lukasz Golab, Felix Naumann

Data Profiling: A Tutorial

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Alpine: Efficient In-Situ Data Exploration in the Presence of Updates

Antonios Anagnostou, Matthaios Olma, Anastasia Ailamaki

Alpine: Efficient In-Situ Data Exploration in the Presence of Updates

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DBridge: Translating Imperative Code to SQL

K. Venkatesh Emani, Tejas Deshpande, Karthik Ramachandra, S. Sudarshan

DBridge: Translating Imperative Code to SQL

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Parallelizing Sequential Graph Computations

Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian

Parallelizing Sequential Graph Computations

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Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

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A Cost-based Optimizer for Gradient Descent Optimization

Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal

A Cost-based Optimizer for Gradient Descent Optimization

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Coarsening Massive Influence Networks for Scalable Diffusion Analysis

Naoto Ohsaka, Tomohiro Sonobe, Sumio Fujita, Ken-ichi Kawarabayashi

Coarsening Massive Influence Networks for Scalable Diffusion Analysis

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Synthesizing Mapping Relationships Using Table Corpus

Yue Wang, Yeye He

Synthesizing Mapping Relationships Using Table Corpus

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Incremental View Maintenance over Array Data

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent

Incremental View Maintenance over Array Data

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Online Deduplication for Databases

Lianghong Xu, Andrew Pavlo, Sudipta Sengupta, Gregory R. Ganger

Online Deduplication for Databases

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Complete Event Trend Detection in High-Rate Event Streams

Olga Poppe, Chuan Lei, Salah Ahmed, Elke A. Rundensteiner

Complete Event Trend Detection in High-Rate Event Streams

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Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

Alexandre Verbitski, Anurag Gupta, Debanjan Saha, Murali Brahmadesam, Kamal Gupta, Raman Mittal, Sailesh Krishnamurthy, Sandor Maurice, Tengiz Kharatishvili, Xiaofeng Bao

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

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doppioDB: A Hardware Accelerated Database

David Sidler, Zsolt István, Muhsen Owaida, Kaan Kara, Gustavo Alonso

doppioDB: A Hardware Accelerated Database

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Feedback-Aware Social Event-Participant Arrangement

Jieying She, Yongxin Tong, Lei Chen, Tianshu Song

Feedback-Aware Social Event-Participant Arrangement

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Approximate Query Engines: Commercial Challenges and Research Opportunities

Barzan Mozafari

Approximate Query Engines: Commercial Challenges and Research Opportunities

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Interactive Mapping Specification with Exemplar Tuples

Angela Bonifati, Ugo Comignani, Emmanuel Coquery, Romuald Thion

Interactive Mapping Specification with Exemplar Tuples

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Dynamic Density Based Clustering

Junhao Gan, Yufei Tao

Dynamic Density Based Clustering

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A Demo of the Data Civilizer System

Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

A Demo of the Data Civilizer System

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CDB: Optimizing Queries with Crowd-Based Selections and Joins

Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan

CDB: Optimizing Queries with Crowd-Based Selections and Joins

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Query Processing Techniques for Big Spatial-Keyword Data

Ahmed R. Mahmood, Walid G. Aref

Query Processing Techniques for Big Spatial-Keyword Data

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Safe Visual Data Exploration

Zheguang Zhao, Emanuel Zgraggen, Lorenzo De Stefani, Carsten Binnig, Eli Upfal, Tim Kraska

Safe Visual Data Exploration

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Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe?

Michael S. Kester, Manos Athanassoulis, Stratos Idreos

Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe?

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DEX: Query Execution in a Delta-based Storage System

Amit Chavan, Amol Deshpande

DEX: Query Execution in a Delta-based Storage System

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How to Build a Non-Volatile Memory Database Management System

Joy Arulraj, Andrew Pavlo

How to Build a Non-Volatile Memory Database Management System

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Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs

Jinghan Meng, Yi-Cheng Tu

Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs

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LittleTable: A Time-Series Database and Its Uses

Sean Rhea, Eric Wang, Edmund Wong, Ethan Atkins, Nat Storer

LittleTable: A Time-Series Database and Its Uses

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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees

Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri

Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees

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Data Management Challenges in Production Machine Learning

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich

Data Management Challenges in Production Machine Learning

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Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures

David Sidler, Zsolt István, Muhsen Owaida, Gustavo Alonso

Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures

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Fast Searchable Encryption With Tunable Locality

Ioannis Demertzis, Charalampos Papamanthou

Fast Searchable Encryption With Tunable Locality

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Efficient Computation of Top-k Frequent Terms over Spatio-temporal Ranges

Pritom Ahmed, Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, Vassilis J. Tsotras

Efficient Computation of Top-k Frequent Terms over Spatio-temporal Ranges

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Utility-Aware Ridesharing on Road Networks

Peng Cheng, Hao Xin, Lei Chen

Utility-Aware Ridesharing on Road Networks

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Revisiting Reuse in Main Memory Database Systems

Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Tim Kraska

Revisiting Reuse in Main Memory Database Systems

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Data Canopy: Accelerating Exploratory Statistical Analysis

Abdul Wasay, Xinding Wei, Niv Dayan, Stratos Idreos

Data Canopy: Accelerating Exploratory Statistical Analysis

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Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs

Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, H. V. Jagadish

Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs

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SLiMFast: Guaranteed Results for Data Fusion and Source Reliability

Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré

SLiMFast: Guaranteed Results for Data Fusion and Source Reliability

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Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics

Raghu Ramakrishnan, Baskar Sridharan, John R. Douceur, Pavan Kasturi, Balaji Krishnamachari-Sampath, Karthick Krishnamoorthy, Peng Li, Mitica Manu, Spiro Michaylov, Rogério Ramos, Neil Sharman, Zee Xu, Youssef Barakat, Chris Douglas, Richard Draves, Shrikant S. Naidu, Shankar Shastry, Atul Sikaria, Simon Sun, Ramarathnam Venkatesan

Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics

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Staging User Feedback toward Rapid Conflict Resolution in Data Fusion

Romila Pradhan, Siarhei Bykau, Sunil Prabhakar

Staging User Feedback toward Rapid Conflict Resolution in Data Fusion

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Cryptanalysis of Comparable Encryption in SIGMOD'16

Caleb Horst, Ryo Kikuchi, Keita Xagawa

Cryptanalysis of Comparable Encryption in SIGMOD'16

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Demonstration of the Cosette Automated SQL Prover

Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu

Demonstration of the Cosette Automated SQL Prover

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Query Centric Partitioning and Allocation for Partially Replicated Database Systems

Tilmann Rabl, Hans-Arno Jacobsen

Query Centric Partitioning and Allocation for Partially Replicated Database Systems

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Demonstration: MacroBase, A Fast Data Analysis Engine

Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri

Demonstration: MacroBase, A Fast Data Analysis Engine

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Optimization of Disjunctive Predicates for Main Memory Column Stores

Fisnik Kastrati, Guido Moerkotte

Optimization of Disjunctive Predicates for Main Memory Column Stores

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Graph Data Mining with Arabesque

Eslam Hussein, Abdurrahman Ghanem, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Ghadeer AbuOda, Marco Serafini, Georgos Siganos, Gianmarco De Francisci Morales, Ashraf Aboulnaga, Mohammed J. Zaki

Graph Data Mining with Arabesque

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Concerto: A High Concurrency Key-Value Store with Integrity

Arvind Arasu, Ken Eguro, Raghav Kaushik, Donald Kossmann, Pingfan Meng, Vineet Pandey, Ravi Ramamurthy

Concerto: A High Concurrency Key-Value Store with Integrity

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Approximate Query Processing: No Silver Bullet

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula

Approximate Query Processing: No Silver Bullet

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Optimizing Iceberg Queries with Complex Joins

Brett Walenz, Sudeepa Roy, Jun Yang

Optimizing Iceberg Queries with Complex Joins

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Exploiting Common Patterns for Tree-Structured Data

Zhiyi Wang, Shimin Chen

Exploiting Common Patterns for Tree-Structured Data

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A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

Elias Stehle, Hans-Arno Jacobsen

A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

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FPGA-based Data Partitioning

Kaan Kara, Jana Giceva, Gustavo Alonso

FPGA-based Data Partitioning

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ROBUS: Fair Cache Allocation for Data-parallel Workloads

Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu

ROBUS: Fair Cache Allocation for Data-parallel Workloads

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DIAS: Differentially Private Interactive Algorithm Selection using Pythia

Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr

DIAS: Differentially Private Interactive Algorithm Selection using Pythia

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Distributed Algorithms on Exact Personalized PageRank

Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin

Distributed Algorithms on Exact Personalized PageRank

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ZipG: A Memory-efficient Graph Store for Interactive Queries

Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica

ZipG: A Memory-efficient Graph Store for Interactive Queries

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Distance Oracle on Terrain Surface

Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount

Distance Oracle on Terrain Surface

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Database Learning: Toward a Database that Becomes Smarter Every Time

Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari

Database Learning: Toward a Database that Becomes Smarter Every Time

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OctopusFS: A Distributed File System with Tiered Storage Management

Elena Kakoulli, Herodotos Herodotou

OctopusFS: A Distributed File System with Tiered Storage Management

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Generating Concise Entity Matching Rules

Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang

Generating Concise Entity Matching Rules

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Handling Environments in a Nested Relational Algebra with Combinators and an Implementation in a Verified Query Compiler

Joshua S. Auerbach, Martin Hirzel, Louis Mandel, Avraham Shinnar, Jérôme Siméon

Handling Environments in a Nested Relational Algebra with Combinators and an Implementation in a Verified Query Compiler

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Extracting Top-K Insights from Multi-dimensional Data

Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang

Extracting Top-K Insights from Multi-dimensional Data

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CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems

Asif R. Khan, Hector Garcia-Molina

CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems

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Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning

Niccolò Meneghetti, Oliver Kennedy, Wolfgang Gatterbauer

Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning

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Graph Querying Meets HCI: State of the Art and Future Directions

Sourav S. Bhowmick, Byron Choi, Chengkai Li

Graph Querying Meets HCI: State of the Art and Future Directions

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Pythia: Data Dependent Differentially Private Algorithm Selection

Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau

Pythia: Data Dependent Differentially Private Algorithm Selection

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Hybrid Transactional/Analytical Processing: A Survey

Fatma Özcan, Yuanyuan Tian, Pinar Tözün

Hybrid Transactional/Analytical Processing: A Survey

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Controlling False Discoveries During Interactive Data Exploration

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska

Controlling False Discoveries During Interactive Data Exploration

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Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization

Harshada Chavan, Mohamed F. Mokbel

Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization

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UGuide: User-Guided Discovery of FD-Detectable Errors

Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang

UGuide: User-Guided Discovery of FD-Detectable Errors

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The VADA Architecture for Cost-Effective Data Wrangling

Nikolaos Konstantinou, Martin Koehler, Edward Abel, Cristina Civili, Bernd Neumayr, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Leonid Libkin, Norman W. Paton

The VADA Architecture for Cost-Effective Data Wrangling

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Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study

Akhil Arora, Sainyam Galhotra, Sayan Ranu

Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study

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