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| SIGMOD 2012: Accepted Papers |
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[ 2012/8/12 15:00:00 | By: 梦翔儿 ] |
| 梦翔儿粗略统计Sigmo2012中 大数据23篇 空间与移动 14篇 MapReduce 4篇
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SIGMOD 2012: Accepted Research Papers
Sample-Driven Schema Mapping, Li Qian, University of Michigan, Ann Arbor; Michael Cafarella, University of Michigan, Ann Arbor; H. V. Jagadish, University of Michigan, Ann Arbor
Optimal Top-k Generation of Attribute Combinations Based on Ranked Lists, Jiaheng Lu, Renmin University of China; Pierre Senellart, Télécom ParisTech; Chunbin Lin, Renmin University of China; Xiaoyong Du, Renmin University of China; Shan Wang, Renmin University of China; Xinxing Chen, Renmin University of China
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems, Andrew Pavlo, Brown University; Carlo Curino, Yahoo! Research; Stan Zdonik, Brown University
Aggregate Suppression for Enterprise Search Engines, Mingyang Zhang, George Washington University; Nan Zhang, George Washington University; Gautam Das, University of Texas at Arlington
Top-k Bounded Diversification, Piero Fraternali, Politecnico di Milano; Davide Martinenghi, Politecnico di Milano; Marco Tagliasacchi, Politecnico di Milano
Towards Effective Partition Management for Large Graphs, Shengqi Yang, University of California, Santa Barbara; Xifeng Yan, University of California, Santa Barbara; Bo Zong, University of California, Santa Barbara; Arijit Khan, University of California, Santa Barbara
Probase: A Probabilistic Taxonomy for Text Understanding, Wentao Wu, University of Wisconsin-Madison; Hongsong Li, Microsoft Research Asia; Haixun Wang, Microsoft Research Asia; Kenny Zhu, Shanghai Jiao Tong University
Interactive Regret Minimization, Danupon Nanongkai, University of Vienna; Ashwin Lall, Denison University; Atish Das Sarma, Google Research; Kazuhisa Makino, University of Tokyo
Prediction-Based Geometric Monitoring over Distributed Data Streams, Nikos Giatrakos, University of Piraeus; Antonios Deligiannakis, Technical University of Crete; Minos Garofalakis, Technical University of Crete; Izchak Sharfman, Technion
Holistic Optimization by Prefetching Query Results, Karthik Ramachandra, IIT Bombay; S. Sudarshan, IIT Bombay
Efficient Processing of Distance Queries in Large Graphs: A Vertex Cover Approach, James Cheng, Nanyang Technological University; Yiping Ke, Institute of High Performance Computing, Singapore; Shumo Chu, Nanyang Technological University; Carter Cheng, Nanyang Technological University
MCJoin: A Memory-Constrained Join for Column-Based Main-Memory Databases, Steven Begley, La Trobe University; Zhen He, La Trobe University; Yi-Ping Phoebe Chen, La Trobe University
Skimmer: Rapid Scrolling of Relational Query Results, Manish Singh, University of Michigan, Ann Arbor; Arnab Nandi, University of Michigan, Ann Arbor; H. V. Jagadish, University of Michigan, Ann Arbor
Temporal Alignment, Anton Dign?s, University of Zürich; Michael B?hlen, University of Zürich; Johann Gamper, Free University of Bozen-Bolzano
Materialized View Selection for XQuery Workloads, Asterios Katsifodimos, INRIA Saclay and Université Paris XI; Ioana Manolescu, INRIA Saclay; Vasilis Vassalos, Athens University of Economics and Business
Efficient External-Memory Bisimulation on DAGs, Jelle Hellings, UHasselt; George Fletcher, TU/e; Herman Haverkort, TU/e
CrowdScreen: Algorithms for Filtering Data with Humans, Aditya Parameswaran, Stanford University; Héctor García-Molina, Stanford University; Hyunjung Park, Stanford University; Neoklis Polyzotis, University of California, Santa Cruz; Aditya Ramesh, Stanford University; Jennifer Widom, Stanford University
So Who Won? Dynamic Max Discovery with the Crowd, Stephen Guo, Stanford University; Aditya Parameswaran, Stanford University; Héctor García-Molina, Stanford University
Authenticating Location-Based Services without Compromising Location Privacy, Haibo Hu, HKBU; Jianliang Xu, HKBU; Ziwei Yang, HKBU
Online Windowed Subsequence Matching over Probabilistic Sequences, Tingjian Ge, University of Massachusetts, Lowell; Zheng Li, University of Kentucky
Divergent Physical Design Tuning, Jeff LeFevre, University of California, Santa Cruz; Mariano Consens, University of Toronto; Kleoni Ioannidou, University of California, Santa Cruz; Neoklis Polyzotis, University of California, Santa Cruz
SCARAB: Scaling Reachability Computation on Large Graphs, Ruoming Jin, Kent State University; Ning Ruan, Kent State University; Saikat Dey, Kent State University; Jeffrey Xu Yu, The Chinese University of Hong Kong
A Highway-Centric Labeling Approach for Answering Distance Queries on Large Graphs, Ruoming Jin, Kent State University; Ning Ruan, Kent State University; Yang Xiang, Ohio State University; Victor Lee, Kent State University
Entity Augmentation and Attribute Discovery by Holistic Matching with Web Tables, Mohamed Yakout, Purdue University; Kris Ganjam, Microsoft Research; Kaushik Chakrabarti, Microsoft Research; Surajit Chaudhuri, Microsoft Research
A Model-Based Approach to Attributed Graph Clustering, Zhiqiang Xu, Nanyang Technological University; Yiping Ke, Institute of High Performance Computing, Singapore; Yi Wang, National University of Singapore; Hong Cheng, The Chinese University of Hong Kong; James Cheng, Nanyang Technological University
Can we Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search, Jiannan Wang, Tsinghua University; Guoliang Li, Tsinghua University; Jianhua Feng, Tsinghua University
Scalable Processing of Continuous Top-k Queries under User Preferences, Albert Yu, Duke University; Pankaj Agarwal, Duke University; Jun Yang, Duke University
Efficient Spatial Sampling of Large Geographical Tables, Anish Das Sarma, Google; Hongrae Lee, Google; Hector Gonzalez, Google Research; Jayant Madhavan, Google Research; Alon Halevy, Google Research
Skeleton Automata for FPGAs: Reconfiguring without Reconstructing, Jens Teubner, ETH Zürich; Louis Woods, ETH Zürich; Chongling Nie, ETH Zürich
Effective Caching of Shortest Paths for Location-Based Services, Man Lung Yiu, Hong Kong Polytechnic University; Jeppe Thomsen, Hong Kong Polytechnic University; Christian Jensen, Aarhus University
Parallel Main-Memory Indexing for Moving-Object Query and Update Workloads, Darius Sidlauskas, Aalborg University; Simonas Saltenis, Aalborg University; Christian Jensen, Aarhus University
Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting, Junho Gan, Sun Yat-Sen University; Jianlin Feng, Sun Yat-Sen University; Qiong Fang, HKUST; Wilfred Ng, HKUST
Local Structure and Determinism in Probabilistic Databases, Theodoros Rekatsinas, University of Maryland; Amol Deshpande, University of Maryland; Lise Getoor, University of Maryland
TreeSpan: Efficiently Computing Similarity All-Matching, Gaoping Zhu, University of New South Wales; Xuemin Lin, University of New South Wales; Ke Zhu, University of New South Wales; Wenjie Zhang, University of New South Wales; Jeffrey Xu Yu, The Chinese University of Hong Kong
Calvin: Fast Distributed Transactions for Partitioned Database Systems, Alexander Thomson, Yale University; Thaddeus Diamond, Yale University; Shu-Chun Weng, Yale University; Kun Ren, Yale University; Philip Shao, Yale University; Daniel J. Abadi, Yale University
Query Preserving Graph Compression, Wenfei Fan, University of Edinburgh; Xin Wang, University of Edinburgh; Yinghui Wu, University of Edinburgh
NoDB: Efficient Query Execution on Raw Data Files, Ioannis Alagiannis, EPFL; Renata Borovica, EPFL; Miguel Branco, EPFL; Stratos Idreos, CWI; Anastasia Ailamaki, EPFL
Advanced Partitioning Techniques for Massively Distributed Computation, Jingren Zhou, Microsoft; Nico Bruno, Microsoft; Wei Lin, Microsoft
MASKIT: Privately Releasing User Context Streams for Personalized Mobile Applications, Michaela Goetz, Cornell University; Suman Nath, Microsoft Research; Johannes Gehrke, Cornell University
Managing Large Dynamic Graphs Efficiently, Jayanta Mondal, University of Maryland; Amol Deshpande, University of Maryland
SkewTune: Mitigating Skew in MapReduce Applications, YongChul Kwon, University of Washington; Magdalena Balazinska, University of Washington; Bill Howe, University of Washington; Jerome Rolia, HP Labs
High-Performance Complex Event Processing over XML Streams, Barzan Mozafari, MIT; Kai Zeng, University of California, Los Angeles; Carlo Zaniolo, University of California, Los Angeles
Towards a Unified Architecture for in-RDBMS Analytics, Xixuan Feng, University of Wisconsin-Madison; Arun Kumar, University of Wisconsin-Madison; Ben Recht, University of Wisconsin-Madison; Christopher Ré, University of Wisconsin-Madison
Declarative Error Management for Robust Data-Intensive Applications, Carl-Christian Kanne, IBM Almaden Research Center; Vuk Ercegovac, IBM Almaden Research Center
Optimizing Index for Taxonomy Keyword Search, Bolin Ding, University of Illinois at Urbana Champaign; Haixun Wang, Microsoft Research Asia; Ruoming Jin, Kent State University; Jiawei Han, University of Illinois at Urbana Champaign; Zhongyuan Wang, Microsoft Research Asia
A General Purpose Log Structure Merge Tree, Russell Sears, Yahoo! Research; Raghu Ramakrishnan, Yahoo! Research
GUPT: Privacy Preserving Data Analysis Made Easy, Prashanth Mohan, University of California, Berkeley; Abhradeep Thakurta, Pennsylvania State University; Elaine Shi, University of California, Berkeley; Dawn Song, University of California, Berkeley; David Culler, University of California, Berkeley
Tiresias: The Database Oracle for How-To Queries, Alexandra Meliou, University of Washington; Dan Suciu, University of Washington
http://www.sigmod.org/2012/research_list.shtml
SIGMOD 2012: Industrial Presentations
- Amazon DynamoDB: A Seamlessly Scalable Non-Relational Datastore, Swami Sivasubramanian, Amazon
- Efficient Transaction Processing in SAP HANA Database--The End of a Column Store Myth, Vishal Sikka, SAP; Franz F?rber, SAP; Wolfgang Lehner, TUD/SAP; Sang Kyun Cha, SAP; Thomas Peh, SAP; Christof Bornh?vd, SAP
- Walnut: A Unified Cloud Object Store, Jianjun Chen, Yahoo!; Chris Douglas, Yahoo!; Michi Mutsuzaki, Yahoo!; Patrick Quaid, Yahoo!; Raghu Ramakrishnan, Yahoo!; Sriram Rao, Yahoo!; Russell Sears, Yahoo!
- The Value of Social Media Data in Enterprise Applications, Shivakumar Vaithyanathan, IBM Almaden Research Center
- Anatomy of a Gift Recommendation Engine Powered by Social Media, Yannis Pavlidis, @WalmartLabs; Madhusudan Mathihalli, @WalmartLabs; Indrani Chakravarty, @WalmartLabs; Arvind Batra, @WalmartLabs; Ron Benson, @WalmartLabs; Ravi Raj, @WalmartLabs; Robert Yau, @WalmartLabs; Mike McKiernan, @WalmartLabs; Venky Harinarayan, @WalmartLabs; Anand Rajaraman, @WalmartLabs
- Designing a Scalable Crowdsourcing Platform, Chris Van Pelt, CrowdFlower; Alex Sorokin, CrowdFlower
- Query Optimization in Microsoft SQL Server PDW, Srinath Shankar, Microsoft; Rimma Nehme, Microsoft; Josep Aguilar-Saborit, Microsoft; Andrew Chung, Microsoft; Mostafa Elhemali, Microsoft; Alan Halverson, Microsoft; Eric Robinson, Microsoft; Mahadevan Sankara Subramanian, Microsoft; David DeWitt, Microsoft; César Galindo-Legaria, Microsoft
- F1--The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business, Jeff Shute, Google; Mircea Oancea, Google; Stephan Ellner, Google; Ben Handy, Google; Eric Rollins, Google; Bart Samwel, Google; Radek Vingralek, Google; Chad Whipkey, Google; Xin Chen, Google; Beat Jegerlehner, Google; Kyle Littlefield, Google; Phoenix Tong, Google
- Oracle In-Database Hadoop: When MapReduce Meets RDBMS, Xueyuan Su, Yale University; Garret Swart, Oracle
- TAO: How Facebook Serves the Social Graph, Zach Amsden, Facebook; Nathan Bronson, Facebook; George Cabrera III, Facebook; Prasad Chakka, Facebook; Peter Dimov, Facebook; Hui Ding, Facebook; Jack Ferris, Facebook; Anthony Giardullo, Facebook; Jeremy Hoon, Facebook; Sachin Kulkarni, Facebook; Nathan Lawrence, Facebook; Mark Marchukov, Facebook; Dmitri Petrov, Facebook; Lovro Puzar, Facebook; Venkateshwaran Venkataramani, Facebook
- Large-Scale Machine Learning at Twitter, Jimmy Lin, Twitter; Alex Kolcz, Twitter
- Recurring Job Optimization in Scope, Nicolás Bruno, Microsoft; Sameer Agarwal, Microsoft; Srikanth Kandula, Microsoft; Bing Shi, Microsoft; Ming-Chuan Wu, Microsoft; Jingren Zhou, Microsoft
- Dynamic Workload-Driven Data Integration in Tableau, Kristi Morton, University of Washington; Ross Bunker, Tableau Software; Jock Mackinlay, Tableau Software; Robert Morton, Tableau Software; Chris Stolte, Tableau Software
- Finding Related Tables, Anish Das Sarma, Google; Lujun Fang, Google; Nitin Gupta, Google; Alon Halevy, Google; Hongrae Lee, Google; Fei Wu, Google; Reynold Xin, Google; Cong Yu, Google
- Optimizing Analytic Data Flows for Multiple Execution Engines, Alkis Simitsis, HP Labs; Kevin Wilkinson, HP Labs; Malu Castellanos, HP Labs; Umeshwar Dayal, HP Labs
- CloudRAMSort: Fast and Efficient Large-Scale Distributed RAM Sort on Shared-Nothing Cluster, Changkyu Kim, Intel Labs; Jongsoo Park, Intel Labs; Nadathur Satish, Intel Labs; Hongrae Lee, Google Research; Pradeep Dubey, Intel Labs; Jatin Chhugani, Intel Labs
- Adaptive Optimizations of Recursive Queries in Teradata, Ahmad Ghazal, Teradata; Dawit Seid, Teradata; Alain Crolotte, Teradata; Mohammed Al-Kateb, Teradata
- From X100 to Vectorwise: Opportunities, Challenges and Things Most Researchers Do Not Think About, Marcin Zukowski, Actian; Peter Boncz, CWI
http://www.sigmod.org/2012/sigmod_industrial_presentations.shtml
SIGMOD 2012: Accepted Demonstrations
- Shark: Fast Data Analysis Using Coarse-grained Distributed Memory. Reynold Xin, Clifford Engle, Antonio Lupher, Matei Zaharia, Michael Franklin, Scott Shenker, and Ion Stoica (University of California, Berkeley)
- Exploiting MapReduce-based Similarity Joins. Yasin Silva and Jason Reed (Arizona State University)
- GLADE: Big Data Analytics Made Easy. Yu Cheng, Chengjie Qin, and Florin Rusu (University of California, Merced)
- ReStore: Reusing Results of MapReduce Jobs in Pig. Iman Elghandour and Ashraf Aboulnaga (University of Waterloo)
- Clydesdale: Structured Data Processing on Hadoop. Sandeep Tata, Tim Kaldewey, and Andrey Balmin (IBM Research - Almaden)
- VizDeck: Self-Organizing Dashboards for Visual Analytics. Alicia Key, Bill Howe, Daniel Perry, and Cecilia Aragon (University of Washington)
- AstroShelf: Understanding the Universe Through Scalable Navigation of a Galaxy of Annotations. Panayiotis Neophytou, Roxana Gheorghiu, Rebecca Hachey, Timothy Luciani, Di Bao, Alexandros Labrinidis, G. Elisabeta Marai, and Panos K. Chrysanthis (University of Pittsburgh)
- OPAvion: Mining and visualization in large graphs. Leman Akoglu, Duen Horng Chau, Christos Faloutsos, U Kang, and Danai Koutra (Carnegie Mellon University)
- CloudAlloc: A Monitoring and Reservation System for Compute Clusters. Enrico Iori (University of Trento), Alkis Simitsis (HP Labs), Themis Palpanas (University of Trento), Kevin Wilkinson, and Stavros Harizopoulos (HP Labs)
- TIRAMOLA: Elastic NoSQL Provisioning through A Cloud Management Platform. Ioannis Konstantinou, Evangelos Angelou, (National Technical University of Athens) Dimitrios Tsoumakos (Ionian University), Christina Boumpouka, Nectarios Koziris (National Technical University of Athens) and Spyros Sioutas (Ionian University)
- Sindbad: A Location-based Social Networking System. Mohamed Sarwat, Jie Bao, Ahmed Eldawy, (University Of Minnesota) Justin Levandoski (Microsoft Research), Amr Magdy, and Mohamed Mokbel (University of Minnesota)
- MAQSA: A System for Social Analytics on News. Sihem Amer-Yahia, Samreen Anjum, Amira Ghenai, Aysha Siddique, Sofiane Abbar (QCRI), Samuel Madden, Adam Marcus (MIT), and Mohammed El-Haddad (Al Jazeera Network)
- Surfacing Time-critical Insights from Social Media. Bogdan Alexe, Mauricio Hernandez (IBM Research - Almaden), Kirsten Hildrum (IBM Research - T.J. Watson), Rajasekar Krishnamurthy, Georgia Koutrika, Meenakshi Nagarajan (IBM Research - Almaden), Haggai Roitman, Michal Shmueli-Scheuer (IBM Research - Haifa), Ioana Stanoi (IBM Research - Almaden), Chitra Venkatramani, and Rohit Wagle (IBM Research - T.J. Watson)
- Taagle: Efficient, Personalized Search in Collaborative Tagging Networks. Bogdan Cautis and Silviu Maniu (Telecom ParisTech)
- PrefDB: Bringing Preferences closer to the DBMS. Anastasios Arvanitis (NTUA), Georgia Koutrika (IBM Research - Almaden)
- Auto-Completion Learning for XML. Serge Abiteboul (INRIA Saclay) Yael Amsterdamer, Tova Milo, (Tel Aviv University), and Pierre Senellart (Telecom ParisTech)
- Logos: A System for Translating Queries into Narratives. Andreas Kokkalis, Panagiotis Vagenas, Alexandros Zervakis (University of Athens), Alkis Simitsis (HP Labs), Georgia Koutrika (IBM Research - Almaden), Yannis Ioannidis (University of Athens)
- PAnG - Finding Patterns in Annotation Graphs. Philip Anderson, Andreas Thor, Joseph Benik, Louiqa Raschid, and Maria-Esther Vidal (University of Maryland)
- Tiresias: A Demonstration of How-To Queries. Alexandra Meliou, Yisong Song, and Dan Suciu (University of Washington)
- Dynamic Optimization of Generalized SQL Queries with Horizontal Aggregations. Carlos Ordonez (University of Houston), Javier Garccía-Garccía (UNAM/IPN), and Zhibo Chen (University of Houston)
- Automatic Web-Scale Information Extraction. Philip Bohannon, Nilesh Dalvi (Yahoo! Research), Yuval Filmus (University of Toronto), Nori Jacoby (Yahoo!), and Sathiya Keerthi, Alok Kirpal (Yahoo! Research)
- Just-in-Time Information Extraction using Extraction Views. Amr El-Helw (EMC Corp), Mina Farid, (University of Waterloo), and Ihab Ilyas (QCRI)
- ColumbuScout: Towards Building Local Search Engines over Large Databases. Cody Hansen and Feifei Li (University of Utah)
- Sofia Search: A Tool for Automating Related-Work Search. Behzad Golshan, Theodoros Lappas, and Evimaria Terzi (Boston University)
- RACE: Real-time Applications over Cloud-Edge. Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos (Microsoft Research), and Wenchao Zhou (University of Pennsylvania)
- Partiqle: An Elastic SQL Engine over Key-Value Stores. Junichi Tatemura, Oliver Po, Wang-Pin Hsiung, and Hakan Hacigumus (NEC Laboratories America)
- JustMyFriends: Full SQL, Full Transactional Amenities, and Access Privacy Arthur Meacham and Dennis Shasha (NYU Courant Institute)
- Kaizen: A Semi-Automatic Index Advisor. Ivo Jimenez, Quoc Trung Tran, Huascar Sanchez, and Neoklis Polyzotis (University of California, Santa Cruz)
- ConsAD : A Real-Time Consistency Anomalies Detector. Kamal Zellag, and Bettina Kemme (McGill University)
- Interactive Performance Monitoring of a Composite OLTP & OLAP Workload. Anja Bog (Hasso Plattner Institute), Kai Sachs (SAP AG), and Hasso Plattner (Hasso Plattner Institute)
http://www.sigmod.org/2012/demo_list.shtml |
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