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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Details |
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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 Details |
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Graphflow: An Active Graph Database Chathura Kankanamge, Siddhartha Sahu, Amine Mhedbhi, Jeremy Chen, Semih Salihoglu |
Graphflow: An Active Graph Database Details |
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QIRANA: A Framework for Scalable Query Pricing Shaleen Deep, Paraschos Koutris |
QIRANA: A Framework for Scalable Query Pricing Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Maaz Bin Safeer Ahmad, Alvin Cheung |
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Interactive Query Synthesis from Input-Output Examples Chenglong Wang, Alvin Cheung, Rastislav Bodík |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Incremental Graph Computations: Doable and Undoable Wenfei Fan, Chunming Hu, Chao Tian |
Incremental Graph Computations: Doable and Undoable Details |
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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 Details |
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Enabling Signal Processing over Data Streams Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein |
Enabling Signal Processing over Data Streams Details |
Author Comments:
Trill is a single-node query processor for temporal or streaming data, available as open source at https://github.com/microsoft/Trill. The signal processing research is currently available in a branch, at https://github.com/microsoft/Trill/tree/SignalProcessing.
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BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications Darko Makreshanski, Jana Giceva, Claude Barthels, Gustavo Alonso |
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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 Details |
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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 Details |
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Heterogeneity-aware Distributed Parameter Servers Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu |
Heterogeneity-aware Distributed Parameter Servers Details |
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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 Details |
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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 Details |
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Scalable Kernel Density Classification via Threshold-Based Pruning Edward Gan, Peter Bailis |
Scalable Kernel Density Classification via Threshold-Based Pruning Details |
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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 Details |
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Approximate Query Processing for Interactive Data Science Tim Kraska |
Approximate Query Processing for Interactive Data Science Details |
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OrpheusDB: A Lightweight Approach to Relational Dataset Versioning Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran |
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Pufferfish Privacy Mechanisms for Correlated Data Shuang Song, Yizhen Wang, Kamalika Chaudhuri |
Pufferfish Privacy Mechanisms for Correlated Data Details |
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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 Details |
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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 Details |
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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 Details |
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Extracting and Analyzing Hidden Graphs from Relational Databases Konstantinos Xirogiannopoulos, Amol Deshpande |
Extracting and Analyzing Hidden Graphs from Relational Databases Details |
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Monkey: Optimal Navigable Key-Value Store Niv Dayan, Manos Athanassoulis, Stratos Idreos |
Monkey: Optimal Navigable Key-Value Store Details |
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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 Details |
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Kai Herrmann, Hannes Voigt, Andreas Behrend, Jonas Rausch, Wolfgang Lehner |
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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 Details |
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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 Details |
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Graph Exploration: From Users to Large Graphs Davide Mottin, Emmanuel Müller |
Graph Exploration: From Users to Large Graphs Details |
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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 Details |
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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 Details |
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In-Browser Interactive SQL Analytics with Afterburner Kareem El Gebaly, Jimmy Lin |
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Shoji Nishimura, Haruo Yokota |
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Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets Gromit Yeuk-Yin Chan, Fernando Chirigati, Harish Doraiswamy, Cláudio T. Silva, Juliana Freire |
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Schema Independent Relational Learning Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei |
Schema Independent Relational Learning Details |
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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 Details |
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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 Details |
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The Next 700 Transaction Processing Engines Anastasia Ailamaki |
The Next 700 Transaction Processing Engines Details |
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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 Details |
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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 Details |
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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 Details |
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QFix: Diagnosing Errors through Query Histories Xiaolan Wang, Alexandra Meliou, Eugene Wu |
QFix: Diagnosing Errors through Query Histories Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Two-Level Sampling for Join Size Estimation Yu Chen, Ke Yi |
Two-Level Sampling for Join Size Estimation Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Snorkel: Fast Training Set Generation for Information Extraction Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher Ré |
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Ziawasch Abedjan, Lukasz Golab, Felix Naumann |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Synthesizing Mapping Relationships Using Table Corpus Yue Wang, Yeye He |
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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 Details |
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Online Deduplication for Databases Lianghong Xu, Andrew Pavlo, Sudipta Sengupta, Gregory R. Ganger |
Online Deduplication for Databases Details |
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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 Details |
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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 |
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doppioDB: A Hardware Accelerated Database David Sidler, Zsolt István, Muhsen Owaida, Kaan Kara, Gustavo Alonso |
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Feedback-Aware Social Event-Participant Arrangement Jieying She, Yongxin Tong, Lei Chen, Tianshu Song |
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Approximate Query Engines: Commercial Challenges and Research Opportunities Barzan Mozafari |
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Interactive Mapping Specification with Exemplar Tuples Angela Bonifati, Ugo Comignani, Emmanuel Coquery, Romuald Thion |
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Dynamic Density Based Clustering Junhao Gan, Yufei Tao |
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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 |
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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 |
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Query Processing Techniques for Big Spatial-Keyword Data Ahmed R. Mahmood, Walid G. Aref |
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Zheguang Zhao, Emanuel Zgraggen, Lorenzo De Stefani, Carsten Binnig, Eli Upfal, Tim Kraska |
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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 |
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DEX: Query Execution in a Delta-based Storage System Amit Chavan, Amol Deshpande |
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How to Build a Non-Volatile Memory Database Management System Joy Arulraj, Andrew Pavlo |
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Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs Jinghan Meng, Yi-Cheng Tu |
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LittleTable: A Time-Series Database and Its Uses Sean Rhea, Eric Wang, Edmund Wong, Ethan Atkins, Nat Storer |
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri |
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Data Management Challenges in Production Machine Learning Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich |
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Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures David Sidler, Zsolt István, Muhsen Owaida, Gustavo Alonso |
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Fast Searchable Encryption With Tunable Locality Ioannis Demertzis, Charalampos Papamanthou |
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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 |
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Utility-Aware Ridesharing on Road Networks Peng Cheng, Hao Xin, Lei Chen |
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Revisiting Reuse in Main Memory Database Systems Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Tim Kraska |
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Data Canopy: Accelerating Exploratory Statistical Analysis Abdul Wasay, Xinding Wei, Niv Dayan, Stratos Idreos |
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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 |
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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 |
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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 |
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Staging User Feedback toward Rapid Conflict Resolution in Data Fusion Romila Pradhan, Siarhei Bykau, Sunil Prabhakar |
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Cryptanalysis of Comparable Encryption in SIGMOD'16 Caleb Horst, Ryo Kikuchi, Keita Xagawa |
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Demonstration of the Cosette Automated SQL Prover Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu |
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Query Centric Partitioning and Allocation for Partially Replicated Database Systems Tilmann Rabl, Hans-Arno Jacobsen |
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Demonstration: MacroBase, A Fast Data Analysis Engine Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri |
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Optimization of Disjunctive Predicates for Main Memory Column Stores Fisnik Kastrati, Guido Moerkotte |
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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 |
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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 |
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Approximate Query Processing: No Silver Bullet Surajit Chaudhuri, Bolin Ding, Srikanth Kandula |
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Optimizing Iceberg Queries with Complex Joins Brett Walenz, Sudeepa Roy, Jun Yang |
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Exploiting Common Patterns for Tree-Structured Data Zhiyi Wang, Shimin Chen |
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A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs Elias Stehle, Hans-Arno Jacobsen |
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Kaan Kara, Jana Giceva, Gustavo Alonso |
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ROBUS: Fair Cache Allocation for Data-parallel Workloads Mayuresh Kunjir, Brandon Fain, Kamesh Munagala, Shivnath Babu |
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DIAS: Differentially Private Interactive Algorithm Selection using Pythia Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr |
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Distributed Algorithms on Exact Personalized PageRank Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin |
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ZipG: A Memory-efficient Graph Store for Interactive Queries Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica |
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Distance Oracle on Terrain Surface Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount |
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Database Learning: Toward a Database that Becomes Smarter Every Time Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari |
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OctopusFS: A Distributed File System with Tiered Storage Management Elena Kakoulli, Herodotos Herodotou |
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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 |
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Joshua S. Auerbach, Martin Hirzel, Louis Mandel, Avraham Shinnar, Jérôme Siméon |
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Extracting Top-K Insights from Multi-dimensional Data Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang |
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CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems Asif R. Khan, Hector Garcia-Molina |
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Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning Niccolò Meneghetti, Oliver Kennedy, Wolfgang Gatterbauer |
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Graph Querying Meets HCI: State of the Art and Future Directions Sourav S. Bhowmick, Byron Choi, Chengkai Li |
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Pythia: Data Dependent Differentially Private Algorithm Selection Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau |
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Hybrid Transactional/Analytical Processing: A Survey Fatma Özcan, Yuanyuan Tian, Pinar Tözün |
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Controlling False Discoveries During Interactive Data Exploration Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska |
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Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization Harshada Chavan, Mohamed F. Mokbel |
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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 |
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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 |
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Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study Akhil Arora, Sainyam Galhotra, Sayan Ranu |
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