The ICDE program-at-a-glance is also available.
Sunday (April 1) |
| 9-5:30pm Workshops |
| Studio F: Data-Driven Decision Guidance and Support Systems (DGSS) |
| Studio B: Self-Managing Database Systems (SMDB) |
| Studio D: Spatio Temporal data Integration and Retrieval (STIR) |
| Studio E: Data Engineering Meets the Semantic Web (DESWEB) |
| 5:30pm-8pm (Salon 4567): Conference Reception |
Monday (April 2) |
| 9:00-10:00: Keynote 1 (Salon 4567): Serge Abiteboul — Viewing the Web as a Distributed Knowledge Base |
| 10:00-10:30: Coffee break |
| 10:30-12:00: Sessions 1-4, Seminar 1, Demo Group 1 |
Session 1 (Studio F): PrivacySession Chair: Murat Kantarcioglu (UT Dallas) Privacy in Social Networks: How Risky is Your Social Graph? Differentially Private Spatial Decompositions Differentially Private Histogram Publication Privacy-Preserving and Content-Protecting Location Based Queries Session 2 (Studio B): Web 2.0 ApplicationsSession Chair: Kyuseok Shim (SNU) GeoFeed: A Location-Aware News Feed Entity Search Strategies for Mashup Applications CI-Rank: Ranking Keyword Search Results Based on Collective Importance Temporal Analytics on Big Data for Web Advertising Session 3 (Studio C): Storage ManagementSession Chair: Alfons Kemper (TUM) Lookup Tables: Fine-Grained Partitioning for Distributed Databases Temporal Support for Persistent Stored Modules Energy Efficient Storage Management Cooperated with Large Data Intensive Applications ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression Session 4 (Studio D): Data Streams ProcessingSession Chair: Bugra Gedik (IBM) Physically Independent Stream Merging On Computing Correlated Aggregates over a Data Stream Accuracy-Aware Uncertain Stream Databases On Discovery of Traveling Companions from Streaming Trajectories
Seminar 1 (Salon 123): Data Management Issues on the Semantic WebOktie Hassanzadeh (University of Toronto & IBM Research) [slides] Demo group 1 (Studio E):SMIX Live – A Self-Managing Index Infrastructure for Dynamic Workloads Multi-Query Stream Processing on FPGAs EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover Distance A Dataset Search Engine for the Research Document Corpus AskFuzzy: Attractive Visual Fuzzy Query Builder F2DB: The Flash-Forward Database System Provenance-Based Debugging and Drill-Down in Data-Oriented Workflows |
| 12:00 – 2:00pm (Salon 4567): Business Lunch & Award Ceremony |
| 2:00pm – 3:30pm: Sessions 5-8, Seminar 2, Demo Group 2 |
Session 5 (Studio F): GraphsSession Chair: Sameh Elnikety (Microsoft) Iterative Graph Feature Mining for Graph Indexing An Efficient Graph Indexing Method PRAGUE: Towards Blending Practical Visual Subgraph Query Formulation and Query Processing Ego-centric Graph Pattern Census Session 6 (Studio B): Uncertain and Probabilistic DatabasesSession Chair: Elena Ferrari Searching Uncertain Data Represented by Non-Axis Parallel Gaussian Mixture Models Aggregate Query Answering on Possibilistic Data with Cardinality Constraints Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data Ranking Query Results in Probabilistic Databases: Complexity and Efficient Algorithms Session 7 (Studio C): Data Integration and ExtractionSession Chair: Daisy Zhe Wang (UFL) Joint Entity Resolution A Self-Configuring Schema Matching System Incremental Detection of Inconsistencies in Distributed Data Recomputing Materialized Instances after Changes to Mappings and Data Session 8 (Studio D): Spatio-Temporal Data ManagementSession Chair: Lei Chen (HKUST) SWST: A Disk Based Index for Sliding Window Spatio-Temporal Data Querying Uncertain Spatio-Temporal Data The Min-dist Location Selection Query Bi-level Locality Sensitive Hashing for K-Nearest Neighbor Computation Seminar 2 (Salon 123): Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the DataEmmanuel Müller (Karlsruhe Institute of Technology) [slides] Demo group 2 (Studio E):M^3: Stream Processing on Main-Memory MapReduce A Deep Embedding of Queries into Ruby Asking the Right Questions in Crowd Data Sourcing LotusX: A Position-Aware XML Graphical Search System with Auto-Completion Efficient Top-k Keyword Search in Graphs with Polynomial Delay TEDAS: a Twitter Based Event Detection and Analysis System AutoDict: Automated Dictionary Discovery |
| 3:30-4:00pm: Coffee Break |
| 4:00pm – 5:30pm: Sessions 9-12, Seminar 3, Demo Group 3 |
Session 9 (Studio F): Query ProcessingSession Chair: Walid G. Aref (Purdue) Learning-based Query Performance Modeling and Prediction Parametric Plan Caching Using Density-Based Clustering Effective and Robust Pruning for Top-Down Join Enumeration Algorithms Towards Preference-aware Relational Databases Session 10 (Studio B): Location Aware Data ProcessingSession Chair: Mohammad Sadoghi (University of Toronto) A Foundation for Efficient Indoor Distance-Aware Query Processing LARS: A Location-Aware Recommender System Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme Desks: Direction-Aware Spatial Keyword Search Session 11 (Studio C): Map-Reduce based Data ProcessingSession Chair: Minqi Zhou (ECNU) Extending Map-Reduce for Efficient Predicate-Based Sampling Fuzzy Joins Using MapReduce Parallel Top-K Similarity Join Algorithms Using MapReduce Load Balancing in MapReduce Based on Scalable Cardinality Estimates Session 12 (Studio D): Social MediaSession Chair: Zack Ives (University of Pennsylvania) Community Detection with Edge Content in Social Media Networks Cross Domain Search by Exploiting Wikipedia Provenance-based Indexing Support in Micro-blog Platforms Learning Stochastic Models of Information Flow Seminar 3 (Salon 123): Detecting Clones, Copying and Reuse on the WebXin Luna Dong (AT&T Labs–Research) [slides]
Demo group 3 (Studio E):Trust & Share: Trusted Information Sharing in Online Social Networks Evaluation of Clusterings – Metrics and Visual Support Horton: Online Query Execution Engine For Large Distributed Graphs MXQuery With Hardware Acceleration Data^3 – A Kinect Interface for OLAP using Complex Event Processing Analyzing Query Optimization Process: Portraits of Join Enumeration Algorithms DPCube: Releasing Differentially Private Data Cubes for Health Information |
| Evening-Night: Career Panel |
Tuesday (April 3) |
| 9:00-10:00: Keynote 2 (Salon 4567): Surajit Chaudhuri — How Different Is Big Data? |
| 10:00-10:30: Coffee break |
| 10:30-12:00: Sessions 13-15, Industrial Session 1, Seminar 4, Demo Group 4 |
Session 13 (Studio F): P2P and Distributed ProcessingSession Chair: Guoliang Li (Tsinghua) BestPeer++: A Peer-to-Peer based Large-scale Data Processing Effective Data Density Estimation in Ring-based P2P Networks Processing of Rank Joins in Highly Distributed Systems Load Balancing for MapReduce-based Entity Resolution Session 14 (Studio B): XML and RDF Data ManagementSession Chair: Dan Olteanu (Oxford) Mapping XML to a Wide Sparse Table Querying XML Data: As You Shape It Branch Code: A Labeling Scheme for Efficient Query Answering on Trees Scalable Multi-Query Optimization for SPARQL Session 15 (Studio C): PerformanceSession Chair: Eric Lo (Poly U., Hong Kong) GSLPI: a Cost-based Query Progress Indicator Micro-Specialization in DBMSes Towards Multi-Tenant Performance SLOs Multi-Version Concurrency via Timestamp Range Conflict Management Industrial Session 1 (Studio D): Support for Large Scale Data AnalyticsSession Chair: Arbee L.P. Chen (National Chengchi University) Exploiting Common Subexpressions for Cloud Query Processing Vectorwise: a Vectorized Analytical DBMS Scalable and Numerically Stable Descriptive Statistics in SystemML
Seminar 4 (Salon 123): Mining Knowledge from Data: An Information Network Analysis ApproachJiawei Han (University of Illinois at Urbana-Champaign) [slides]
Demo Group 4 (Studio E)
|
| 12:00-2:00pm: Funders Session and Lunch (Salon 4567)
Moderator: Dr. Frank Olken Dr. Le Gruenwald (National Science Foundation) |
| 2:00pm-3:30pm: Sessions 16-17, Industrial Session 2, Seminar 5, Panel, Demo Group 1 |
Session 16 (Studio F): Data Extraction and QualitySession Chair: Anish Das Sarma Automatic Extraction of Structured Web Data with Domain Knowledge Discovering Conservation Rules Answering Why-not Questions on Top-k Queries An Efficient Trie-based Method for Approximate Entity Extraction with Edit-Distance Constraints Session 17 (Studio B): Top-K ProcessingSession Chair: Tingjian Ge (UKY) On Top-k Structural Similarity Search Relevance Matters: Capitalizing on Less (Top-k Matching in Publish/Subscribe) Efficiently Monitoring Top-k Pairs over Sliding Windows Processing and Notifying Range Top-k Subscriptions Industrial Session 2 (Studio C): Evolving Platforms for New ApplicationsSession Chair: Rui Zhang (Melbourne) Earlybird: Real-Time Search at Twitter Data Infrastructure at LinkedIn The Credit Suisse Meta-data Warehouse Panel (Studio D): The Future of Scientific Data BasesModerator: Michael Stonebraker (MIT) Seminar 5 (Salon 123): Emerging Graph Queries In Linked DataArijit Khan (University of California, Santa Barbara) [slides]
Demo group 1 (Studio E)See “Demo Group 1” listing above |
| 3:30pm-4:00pm: Coffee Break |
| 4:00pm-5:00pm: Poster Session, all papers (Salon 4567) |
| 5:30pm: Departure for conference banquet (bus leaves hotel) |
Wednesday (April 4) |
| 9:00-10:00: Keynote 3 (Salon 4567): Peter Druschel — Accountability and Trust in Cooperative Information Systems |
| 10:00-10:30: Coffee Break |
| 10:30-12:00: Sessions 18-20, Industrial Session 3, Seminar 6, Demo Group 2 |
Session 18 (Studio F): SimilaritySession: Matthias Renz (LMU) Efficient Exact Similarity Searches using Multiple Token Orderings Efficient Graph Similarity Joins with Edit Distance Constraints Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints Random Error Reduction in Similarity Search on Time Series: A Statistical Approach Session 19 (Studio B): Text and StringsSession Chair: Feifei Li (UTAH) Optimizing Statistical Information Extraction Programs Over Evolving Text Approximate String Membership Checking: A Multiple Filter, Optimization-Based Approach On Text Clustering with Side Information Fast SLCA and ELCA Computation for XML Keyword Queries based on Set Intersection Session 20 (Studio C): Query Processing IISession Chair: Volker Markl (TUM) Optimization of Massive Pattern Queries by Dynamic Configuration Morphing Three-level Processing of Multiple Aggregate Continuous Queries Accelerating Range Queries For Brain Simulations Keyword Query Reformulation on Structured Data Industrial Session 3 (Studio D): Indexing, Updates and ProcessingSession Chair: Adina Crainiceanu (United States Naval Academy) Efficient Support of XQuery Update Facility in XML Enabled RDBMS Making Unstructured Data SPARQL Using Semantic Indexing in Oracle Database A meta-language for MDX queries in eLog Business Solution Seminar 6 (Salon 123): Boolean Matrix Decomposition Problem: Theory, Variations and Applications to Data EngineeringJaideep Vaidya (Rutgers University) [slides]
Demo Group 2 (Studio E):See “Demo Group 2” listing above |
| 12:00-2:00pm: Lunch (provided by Conference, Salon 4567) |
| 2:00pm-3:30pm: Sessions 21-23, Demo Group 3 |
Session 21 (Studio F): Data MiningSession Chair: Anthony Tung (National University of Singapore) Predicting Approximate Protein-DNA Binding Cores Using Association Rule Mining Upgrading Uncompetitive Products Economically Attribute-Based Subsequence Matching and Mining Integrating Frequent Pattern Mining from Multiple Data Domains for Classification Session 22 (Studio B): Scientific Data, Analysis and VisualizationSession Chair: Christopher Re (WISC) Efficient Versioning for Scientific Array Databases Multidimensional Analysis of Atypical Events in Cyber-Physical Data HiCS: High Contrast Subspaces for Density-Based Outlier Ranking Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks Session 23 (Studio D): Similarity Search and DetectionSession Chair: Xuemin Lin (UNSW) Horizontal Reduction: Instance-Level Dimensionality Reduction for Similarity Search in Large Document Databases Adaptive Windows for Duplicate Detection Efficient Dual-Resolution Layer Indexing for Top-k Queries Evaluating Probabilistic Queries over Uncertain Matching Demo group 3 (Studio E)See “Demo Group 3” listing above |
| 3:30-4:00: Coffee Break |
| 4:00-5:30: Sessions 24-25, Demo Group 4 |
Session 24 (Studio B): Sensors Network and TrajectorySession Chair: Flip Korn (AT&T) Detecting Outliers in Sensor Networks using the Geometric Approach Efficient Threshold Monitoring for Distributed Probabilistic Data Incorporating Duration Information for Trajectory Classification Reducing Uncertainty of Low-Sampling-Rate Trajectories Session 25 (Studio D): Error Reduction and Data SecuritySession Chair: Graham Cormode (AT&T) Efficient Similarity Search over Encrypted Data Obfuscating the Topical Intention in Enterprise Text Search Correlation Support for Risk Evaluation in Databases A Game-Theoretic Approach for High-Assurance of Data Trustworthiness in Sensor Networks Demo group 4 (Studio E)See “Demo Group 4” listing above |
Thursday (April 5) |
9-5:30pm Workshops |
| Studio B: Data Management in the Cloud (DMC) |
| Studio D: Graph Data Management: Techniques and Applications (GDM) |
| Studio F: Secure Data Management on Smartphones and Mobiles (SDMSM) |


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