icde 2017 论文列表
33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017.
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Hardware Acceleration of Database Analytics.
Tradeoffs and Considerations in the Design of Accelerators for Database Applications.
Enabling Effective Utilization of GPUs for Data Management Systems.
Processing Declarative Queries through Generating Imperative Code in Managed Runtimes.
Data Management Systems on Future Hardware: Challenges and Opportunities.
Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine's Perspective.
Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs.
The Configurable Cloud - Accelerating Hyperscale Datacenter Services with FPGA.
On Recommending Evolution Measures: A Human-Aware Approach.
PolyFuse: A Large-Scale Hybrid Data Fusion System.
Ontology-Based Approach for Academic Evaluation System.
NOUS: Construction and Querying of Dynamic Knowledge Graphs.
Distance-Based Triple Reordering for SPARQL Query Optimization.
Towards Scalable Non-Monotonic Stream Reasoning via Input Dependency Analysis.
Characterizing Organ Donation Awareness from Social Media.
A Mortality Study for ICU Patients Using Bursty Medical Events.
Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis.
Mother Smoking During Pregnancy and ADHD in Children.
Enabling Real-Time Drug Abuse Detection in Tweets.
Case Study: Classification Algorithms Comparison for the Multi-Label Problem of Chronic Pelvic Pain Diagnosing.
Survival Topic Models for Predicting Outcomes for Trauma Patients.
MASC: Automatic Sleep Stage Classification Based on Brain and Myoelectric Signals.
Fairness in Group Recommendations in the Health Domain.
Small Data.
Data Science Education: We're Missing the Boat, Again.
Handling Uncertainty in Geo-Spatial Data.
The Challenges of Global-Scale Data Management.
Web-Scale Blocking, Iterative and Progressive Entity Resolution.
Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications.
Community Search over Big Graphs: Models, Algorithms, and Opportunities.
Effects of User Interactions on Online Social Recommender Systems.
Judgment Analysis Based on Crowdsourced Opinions.
RELNA: Ranking Attributes in Social Networks to Detect Overlapping Communities Efficiently.
Multiple-Query Optimization of Regular Path Queries.
Keynote: Research with Real Users.
VisFlow: A Visual Database Integration and Workflow Querying System.
SPATE: Compacting and Exploring Telco Big Data.
MAROON+: A System for Profiling Entities over Time.
Landslide Information Service Based on Composition of Physical and Social Sensors.
Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond.
DV8: Interactive Analysis of Aviation Data.
DANCE: Data Cleaning with Constraints and Experts.
A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma.
A Human-and-Machine Cooperative Framework for Entity Resolution with Quality Guarantees.
A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets.
TABOO: Detecting Unstructured Sensitive Information Using Recursive Neural Networks.
SocialLens: Searching and Browsing Communities by Content and Interaction.
Privacy Cyborg: Towards Protecting the Privacy of Social Media Users.
ModelHub: Deep Learning Lifecycle Management.
GscalerCloud: A Web-Based Graph Scaling Service.
GQFast: Fast Graph Exploration with Context-Aware Autocompletion.
BEAMS: Bounded Event Detection in Graph Streams.
Adaptive Topic Follow-Up on Twitter.
Demonstration of Kite: A Scalable System for Microblogs Data Management.
Urd: A Data Summarization Tool for the Acquisition of Meaningful Cardinality Constraints with Probabilistic Intervals.
Understanding the Security Challenges of Oblivious Cloud Storage with Asynchronous Accesses.
Selective In-Place Appends for Real: Reducing Erases on Wear-prone DBMS Storage.
POLYTICS: Provenance-Based Analytics of Data-Centric Applications.
IS2R: A System for Refining Reverse Top-k Queries.
HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases.
Demonstrating SolveDB: An SQL-Based DBMS for Optimization Applications.
AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources.
AdaStorm: Resource Efficient Storm with Adaptive Configuration.
A Learning-Based Service for Cost and Performance Management of Cloud Databases.
Privacy Preserving Anonymity for Periodical SRS Data Publishing.
Efficient Exploration of Telco Big Data with Compression and Decaying.
Database System Support for Personalized Recommendation Applications.
Robust Power Line Outage Detection with Unreliable Phasor Measurements.
Smart Personalized Routing for Smart Cities.
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data.
Vibration Analysis for IoT Enabled Predictive Maintenance.
Automated Personalized Feedback in Introductory Java Programming MOOCs.
Modeling Scalability of Distributed Machine Learning.
Providing Enhanced Functionality for Data Store Clients.
BigBench V2: The New and Improved BigBench.
Multi-Query Optimization for Complex Event Processing in SAP ESP.
Optimizing UNION ALL Join Queries in Teradata.
Making Big Data Simple with dashDB Local.
DistributedLog: A High Performance Replicated Log Service.
Feisu: Fast Query Execution over Heterogeneous Data Sources on Large-Scale Clusters.
Twitter Heron: Towards Extensible Streaming Engines.
The Microsoft Reactive Framework Meets the Internet of Moving Things.
Anomaly Detection in Large Databases Using Behavioral Patterning.
Real-Time Novel Event Detection from Social Media.
Xhare-a-Ride: A Search Optimized Dynamic Ride Sharing System with Approximation Guarantee.
Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database.
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream.
Spinner: Scalable Graph Partitioning in the Cloud.
Fast and Scalable Distributed Boolean Tensor Factorization.
Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics.
In-Memory Distributed Matrix Computation Processing and Optimization.
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.
Tuning Crowdsourced Human Computation.
Trichromatic Online Matching in Real-Time Spatial Crowdsourcing.
Prediction-Based Task Assignment in Spatial Crowdsourcing.
LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis.
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Multi-Tactic Distance-Based Outlier Detection.
Time Series Classification by Sequence Learning in All-Subsequence Space.
Cleaning Relations Using Knowledge Bases.
A Collective, Probabilistic Approach to Schema Mapping.
Parallel Progressive Approach to Entity Resolution Using MapReduce.
Cleaning Data with Forbidden Itemsets.
Boosting Information Spread: An Algorithmic Approach.
Most Influential Community Search over Large Social Networks.
Complex Event-Participant Planning and Its Incremental Variant.
Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks.
Tracking Matrix Approximation over Distributed Sliding Windows.
Quantifying Differential Privacy under Temporal Correlations.
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Posterior Snapshot Isolation.
Similarity Search in Graph Databases: A Multi-Layered Indexing Approach.
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy.
An Efficient Framework for Exact Set Similarity Search Using Tree Structure Indexes.
Capturing the Moment: Lightweight Similarity Computations.
Secure and Efficient Query Processing over Hybrid Clouds.
Frequency-Hiding Dependency-Preserving Encryption for Outsourced Databases.
Towards a Unifying Attribute Based Access Control Approach for NoSQL Datastores.
Adaptively Secure Conjunctive Query Processing over Encrypted Data for Cloud Computing.
On Log-Structured Merge for Solid-State Drives.
DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures.
Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors.
Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach.
Secure Skyline Queries on Cloud Platform.
Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity.
V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints.
Answering Top-k Exemplar Trajectory Queries.
Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries.
Towards Unified Data and Lifecycle Management for Deep Learning.
Efficient Scalable Accurate Regression Queries in In-DBMS Analytics.
Parallel SPARQL Query Optimization.
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics.
Scalable Linear Algebra on a Relational Database System.
TT-Join: Efficient Set Containment Join.
Extended Characteristic Sets: Graph Indexing for SPARQL Query Optimization.
A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries.
Provenance-Aware Query Optimization.
Density Based Clustering over Location Based Services.
Streaming k-Means Clustering with Fast Queries.
Scalable Informative Rule Mining.
Network Backboning with Noisy Data.
Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources.
BWT Arrays and Mismatching Trees: A New Way for String Matching with k Mismatches.
Reverse Top-k Geo-Social Keyword Queries in Road Networks.
Reverse Keyword-Based Location Search.
Fast Computation of Dense Temporal Subgraphs.
Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs.
A Fast Order-Based Approach for Core Maintenance.
UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph.
Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop.
The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks.
SSD-Assisted Backup and Recovery for Database Systems.
TencentBoost: A Gradient Boosting Tree System with Parameter Server.
Joint User-Entity Representation Learning for Event Recommendation in Social Network.
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators.
Dynamic Statistics Collection in the Teradata Unified Data Architecture.
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
Improving Predictable Shared-Disk Clusters Performance for Database Clouds.
Secure KNN Queries over Encrypted Data: Dimensionality Is Not Always a Curse.
Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine.
Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets.
Enterprise Community Detection.
Analyzing and Visualizing Scalar Fields on Graphs.
IRanker: Query-Specific Ranking of Reviewed Items.
Answering Location-Aware Graph Reachability Queries on GeoSocial Data.
Joint Gaussian Based Measures for Multiple-Instance Learning.
Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes.
Sampling and Reconstruction Using Bloom Filters.
Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management.
On Edge Classification in Networks with Structure and Content.
Scalable Processing of Massive Uncertain Graph Data: A Simultaneous Processing Approach.
FuseM: Query-Centric Data Fusion on Structured Web Markup.
ACTS: An Active Learning Method for Time Series Classification.
Ontology- and Sentiment-Aware Review Summarization.
Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search.
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
Efficient Multistream Classification Using Direct Density Ratio Estimation.
Skew-Resistant Graph Partitioning.
A Comparative Study of Log-Structured Merge-Tree-Based Spatial Indexes for Big Data.
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines.
Query Optimizations over Decentralized RDF Graphs.
Distance-Aware Encoding of Numerical Values for Privacy-Preserving Record Linkage.
Correcting and Speeding-Up Bounds for Non-Uniform Graph Edit Distance.
CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement.
From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation.
Parallelizing Skip Lists for In-Memory Multi-Core Database Systems.
Mining Maximal Cliques on Dynamic Graphs Efficiently by Local Strategies.
Searching Time Series with Invariance to Large Amounts of Uniform Scaling.
Direction-Aware Why-Not Spatial Keyword Top-k Queries.
SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items.
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines.
Scalable Top-K Structural Diversity Search.
Preserving-Ignoring Transformation Based Index for Approximate k Nearest Neighbor Search.
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services.
Mining Precise-Positioning Episode Rules from Event Sequences.
Clustering with Adaptive Manifold Structure Learning.
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
Maximizing Acceptance in Rejection-aware Spatial Crowdsourcing.
Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage.
Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce.
SEDEX: Scalable Entity Preserving Data Exchange.
gMark: Schema-Driven Generation of Graphs and Queries.
Proxies for Shortest Path and Distance Queries.
Collective Travel Planning in Spatial Networks.
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).
Bring Order into the Samples: A Novel Scalable Method for Influence Maximization (Extended Abstract).
Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-Answers.
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract).
A Novel Cost-Based Model for Data Repairing.
Bridging Feature Selection and Extraction: Compound Feature Generation (Extended Abstract).
Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search.
Mutually Beneficial Confluent Routing.
Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce.
Crowdsourced Data Management: A Survey.
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract).
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract).
The Moving K Diversified Nearest Neighbor Query.
A Generic Method for Accelerating LSH-Based Similarity Join Processing (Extended Abstract).
Influence Maximization in Trajectory Databases.
Mining Suspicious Tax Evasion Groups in Big Data.
K-Join: Knowledge-Aware Similarity Join.
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects.
Recommendation for Repeat Consumption from User Implicit Feedback.
Personalized Influential Topic Search via Social Network Summarization.
Efficient Cache-Supported Path Planning on Roads (Extended Abstract).
SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract).
A Mixed Generative-Discriminative Based Hashing Method.
IF-Matching: Towards Accurate Map-Matching with Information Fusion.
Semantic Bootstrapping: A Theoretical Perspective.
Leveraging Data and People to Accelerate Data Science.
Mosaics: Stratosphere, Flink and Beyond.
