icde 2019 论文列表
35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019.
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Index-Based Densest Clique Percolation Community Search in Networks (Extended Abstract).
Exploring Communities in Large Profiled Graphs (Extended Abstract).
Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract).
Answering Why-Not Group Spatial Keyword Queries (Extended Abstract).
Near-Accurate Multiset Reconciliation (Extended Abstract).
A Utility-Optimized Framework for Personalized Private Histogram Estimation (Extended Abstract).
DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding (Extended Abstract).
Order-Sensitive Imputation for Clustered Missing Values (Extended Abstract).
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract).
Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract).
Uncertain Graph Sparsification (Extended Abstract).
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data.
A Hardware-Accelerated Solution for Hierarchical Index-Based Merge-Join(Extended Abstract).
XINA: Explainable Instance Alignment using Dominance Relationship (Extended Abstract).
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing.
On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks (Extended Abstract).
Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search (Extended Abstract).
In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data.
Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-memory OLAP (Extended Abstract).
LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract).
C2Net: A Network-Efficient Approach to Collision Counting LSH Similarity Join(Extended Abstract).
Efficient Multi-Class Probabilistic SVMs on GPUs.
A Novel Representation and Compression for Queries on Trajectories in Road Networks (Extended Abstract).
On Generalizing Collective Spatial Keyword Queries (Extended Abstract).
Efficient Parallel Skyline Query Processing for High-Dimensional Data.
Location Inference for Non-Geotagged Tweets in User Timelines [Extended Abstract].
Event Recommendation using Social Media.
Disambiguation and Result Expansion in Keyword Search Over Relational Databases.
Knowledge Representation for Emotion Intelligence.
Don't Fear the REAPER: A Framework for Materializing and Reusing Deep-Learning Models.
Towards Explaining the Effects of Data Preprocessing on Machine Learning.
Explaining Results of Data-Driven Applications.
Automated Documentation of End-to-End Experiments in Data Science.
Robust Query Processing: Mission Possible.
Cohesive Subgraph Computation Over Large Sparse Graphs.
Hierarchical Decomposition of Big Graphs.
Geospatial Data Management in Apache Spark: A Tutorial.
Telco Big Data Research and Open Problems.
Crowdsourcing Database Systems: Overview and Challenges.
Native Storage Techniques for Data Management.
Demonstrating Spindra: A Geographic Knowledge Graph Management System.
SciDetector: Scientific Event Discovery by Tracking Variable Source Data Streaming.
Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System.
An Environment-Aware Market Strategy for Data Allocation and Dynamic Migration in Cloud Database.
vABS: Towards Verifiable Attribute-Based Search Over Shared Cloud Data.
GRIT: Consistent Distributed Transactions Across Polyglot Microservices with Multiple Databases.
CogLearn: A Cognitive Graph-Oriented Online Learning System.
COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning.
PePPer: Fine-Grained Personal Access Control via Peer Probing.
A Comparison of Allocation Algorithms for Partially Replicated Databases.
CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing.
EXPLAINER: Entity Resolution Explanations.
Hybrid.Poly: A Consolidated Interactive Analytical Polystore System.
GeoSparkViz in Action: A Data System with Built-in Support for Geospatial Visualization.
Just in Time: Personal Temporal Insights for Altering Model Decisions.
IVLG: Interactive Visualization of Large Graphs.
AI Pro: Data Processing Framework for AI Models.
RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale.
A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks.
SAC: A System for Big Data Lineage Tracking.
Aucher: Multi-modal Queries on Live Audio Streams in Real-Time.
FGreat: Focused Graph Query Autocompletion.
WebPut: A Web-Aided Data Imputation System for the General Type of Missing String Attribute Values.
Logan: A Distributed Online Log Parser.
Differential Data Quality Verification on Partitioned Data.
A Prescription Trend Analysis using Medical Insurance Claim Big Data.
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study.
Interpretable Multi-task Learning for Product Quality Prediction with Attention Mechanism.
Micro-Browsing Models for Search Snippets.
FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform.
Caladrius: A Performance Modelling Service for Distributed Stream Processing Systems.
CATS: Cross-Platform E-Commerce Fraud Detection.
Accurate Product Attribute Extraction on the Field.
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks.
Domain-Independent Automated Processing of Free-Form Text Data in Telecom.
Large Scale Traffic Signal Network Optimization - A Paradigm Shift Driven by Big Data.
SEBDB: Semantics Empowered BlockChain DataBase.
Improving RDF Query Performance Using In-memory Virtual Columns in Oracle Database.
Presto: SQL on Everything.
DirectLoad: A Fast Web-Scale Index System Across Large Regional Centers.
MLlib*: Fast Training of GLMs Using Spark MLlib.
Scalable Similarity Joins of Tokenized Strings.
CRA: Enabling Data-Intensive Applications in Containerized Environments.
How I Learned to Stop Worrying and Love Re-optimization.
Workload-Aware Subgraph Query Caching and Processing in Large Graphs.
OSMAC: Optimizing Subgraph Matching Algorithms with Community Structure.
Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming.
Outer and Anti Joins in Temporal-Probabilistic Databases.
Fingerprinting Big Data: The Case of KNN Graph Construction.
Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information.
Accelerate MaxBRkNN Search by kNN Estimation.
HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query.
Finding Average Regret Ratio Minimizing Set in Database.
Top-K Entity Resolution with Adaptive Locality-Sensitive Hashing.
Efficient Partitioning and Query Processing of Spatio-Temporal Graphs with Trillion Edges.
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization.
CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction.
ECOQUG: An Effective Ensemble Community Scoring Function.
Efficient Pattern Mining Based Cryptanalysis for Privacy-Preserving Record Linkage.
Entity Integrity, Referential Integrity, and Query Optimization with Embedded Uniqueness Constraints.
Meta Diagram Based Active Social Networks Alignment.
A Collaborative Framework for Similarity Enforcement in Synthetic Scaling of Relational Datasets.
A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams.
Real Time Principal Component Analysis.
T-Sample: A Dual Reservoir-Based Sampling Method for Characterizing Large Graph Streams.
I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space.
An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases.
Scalable Metric Similarity Join Using MapReduce.
PerRD: A System for Personalized Route Description.
Hankel Matrix Factorization for Tagged Time Series to Recover Missing Values During Blackouts.
Procrastination-Aware Scheduling: A Bipartite Graph Perspective.
Highly Efficient Pattern Mining Based on Transaction Decomposition.
Optimizing Cross-Platform Data Movement.
Interaction-Aware Arrangement for Event-Based Social Networks.
Parameter Discovery in Unsupervised Clustering.
Automated Grading of SQL Queries.
Maximizing the Utility in Location-Based Mobile Advertising.
A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing.
Modeling Multidimensional User Preferences for Collaborative Filtering.
Insecurity and Hardness of Nearest Neighbor Queries Over Encrypted Data.
Continuous Range Queries Over Multi-attribute Trajectories.
PriSTE: From Location Privacy to Spatiotemporal Event Privacy.
Muses: Distributed Data Migration System for Polystores.
Collecting Preference Rankings Under Local Differential Privacy.
AID: An Adaptive Image Data Index for Interactive Multilevel Visualization.
Distributed Discovery of Functional Dependencies.
Parallel and Distributed Processing of Reverse Top-k Queries.
Top-K Frequent Term Queries on Streaming Data.
Continuous Search on Dynamic Spatial Keyword Objects.
Nonlinear Models Over Normalized Data.
Explaining Queries Over Web Tables to Non-experts.
BB-Tree: A Main-Memory Index Structure for Multidimensional Range Queries.
Efficient Batch One-Hop Personalized PageRanks.
AUC-MF: Point of Interest Recommendation with AUC Maximization.
Neural Multi-task Recommendation from Multi-behavior Data.
Slice Finder: Automated Data Slicing for Model Validation.
Adaptive Deep Reuse: Accelerating CNN Training on the Fly.
Discovery and Ranking of Functional Dependencies.
Fraction-Score: A New Support Measure for Co-location Pattern Mining.
Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies.
Scalable Frequent Sequence Mining with Flexible Subsequence Constraints.
Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
Physical Representation-Based Predicate Optimization for a Visual Analytics Database.
Minimizing Maximum Delay of Task Assignment in Spatial Crowdsourcing.
Cooperation-Aware Task Assignment in Spatial Crowdsourcing.
Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.
Robust High Dimensional Stream Classification with Novel Class Detection.
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction.
Finding Significant Items in Data Streams.
RUM: Network Representation Learning Using Motifs.
Bursty Event Detection Throughout Histories.
Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
DBSCAN-MS: Distributed Density-Based Clustering in Metric Spaces.
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making.
AppUsage2Vec: Modeling Smartphone App Usage for Prediction.
MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks.
An Efficient Framework for Correctness-Aware kNN Queries on Road Networks.
Identifying the Most Interactive Object in Spatial Databases.
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks.
Distributed In-memory Trajectory Similarity Search and Join on Road Network.
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search.
Efficient Scalable Multi-attribute Index Selection Using Recursive Strategies.
Multi-copy Cuckoo Hashing.
Mostly Order Preserving Dictionaries.
TARDIS: Distributed Indexing Framework for Big Time Series Data.
Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment.
Improved Algorithms for Maximal Clique Search in Uncertain Networks.
Multi-Dimensional Genomic Data Management for Region-Preserving Operations.
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach.
Coloring Embedder: A Memory Efficient Data Structure for Answering Multi-set Query.
Mining Periodic Cliques in Temporal Networks.
Fast and Accurate Graph Stream Summarization.
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks.
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time.
Time Constrained Continuous Subgraph Search Over Streaming Graphs.
ImageProof: Enabling Authentication for Large-Scale Image Retrieval.
Moving Object Linking Based on Historical Trace.
When Geo-Text Meets Security: Privacy-Preserving Boolean Spatial Keyword Queries.
Auction-Based Order Dispatch and Pricing in Ridesharing.
An Efficient Insertion Operator in Dynamic Ridesharing Services.
Bridging Quantities in Tables and Text.
2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance.
A Hierarchical Framework for Top-k Location-Aware Error-Tolerant Keyword Search.
SimMeme: A Search Engine for Internet Memes.
Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness.
Canonicalization of Open Knowledge Bases with Side Information from the Source Text.
Online Social Media Recommendation Over Streams.
Skyline Queries Constrained by Multi-cost Transportation Networks.
Weight-Constrained Route Planning Over Time-Dependent Graphs.
Time-Dependent Hop Labeling on Road Network.
Cluster-Based Subscription Matching for Geo-Textual Data Streams.
Efficient Maximal Spatial Clique Enumeration.
KV-Match: A Subsequence Matching Approach Supporting Normalization and Time Warping.
Effective Filters and Linear Time Verification for Tree Similarity Joins.
GEM^2-Tree: A Gas-Efficient Structure for Authenticated Range Queries in Blockchain.
Packed Memory Arrays - Rewired.
Dynamic Set kNN Self-Join.
An MBR-Oriented Approach for Efficient Skyline Query Processing.
Multicapacity Facility Selection in Networks.
Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach.
Information Diffusion Prediction via Recurrent Cascades Convolution.
REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel.
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks.
No False Negatives: Accepting All Useful Schedules in a Fast Serializable Many-Core System.
LDC: A Lower-Level Driven Compaction Method to Optimize SSD-Oriented Key-Value Stores.
TuFast: A Lightweight Parallelization Library for Graph Analytics.
Hardware-Conscious Hash-Joins on GPUs.
Column-Oriented Database Acceleration Using FPGAs.
Joins Over Encrypted Data with Fine Granular Security.
SecEQP: A Secure and Efficient Scheme for SkNN Query Problem Over Encrypted Geodata on Cloud.
Partitioned Data Security on Outsourced Sensitive and Non-Sensitive Data.
Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
ServeDB: Secure, Verifiable, and Efficient Range Queries on Outsourced Database.
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.
Route Recommendations on Road Networks for Arbitrary User Preference Functions.
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps.
Social Influence-Based Group Representation Learning for Group Recommendation.
Assessing and Remedying Coverage for a Given Dataset.
KARL: Fast Kernel Aggregation Queries.
Constraints-Based Explanations of Classifications.
Enumerating Minimal Weight Set Covers.
Deletion Propagation for Multiple Key Preserving Conjunctive Queries: Approximations and Complexity.
An Iterative Scheme for Leverage-Based Approximate Aggregation.
Taster: Self-Tuning, Elastic and Online Approximate Query Processing.
ARROW: Approximating Reachability Using Random Walks Over Web-Scale Graphs.
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search.
Maximizing Multifaceted Network Influence.
Cohesive Group Nearest Neighbor Queries Over Road-Social Networks.
Keyword-Centric Community Search.
Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks.
Finding Temporal Influential Users Over Evolving Social Networks.
MF-Join: Efficient Fuzzy String Similarity Join with Multi-level Filtering.
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases.
LCJoin: Set Containment Join via List Crosscutting.
Towards Longitudinal Analytics on Social Media Data.
An Efficient Parallel Keyword Search Engine on Knowledge Graphs.
Adaptive Wavelet Clustering for Highly Noisy Data.
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval.
AIR: Attentional Intention-Aware Recommender Systems.
A Joint Context-Aware Embedding for Trip Recommendations.
DBSVEC: Density-Based Clustering Using Support Vector Expansion.
G*-Tree: An Efficient Spatial Index on Road Networks.
Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs.
Fast Dual Simulation Processing of Graph Database Queries.
Efficient Parallel Subgraph Enumeration on a Single Machine.
Scaling Up Subgraph Query Processing with Efficient Subgraph Matching.
A Semi-Supervised Framework of Clustering Selection for De-Duplication.
Unsupervised String Transformation Learning for Entity Consolidation.
Fine-Grained Provenance for Matching & ETL.
CurrentClean: Spatio-Temporal Cleaning of Stale Data.
Learning Individual Models for Imputation.
Efficient Synchronization of State-Based CRDTs.
BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework.
Blockplane: A Global-Scale Byzantizing Middleware.
Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation.
Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.
Contextual Community Search Over Large Social Networks.
Computing a Near-Maximum Independent Set in Dynamic Graphs.
Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs.
Enumerating k-Vertex Connected Components in Large Graphs.
Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs.
Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them?
Knowledge Graphs and Enterprise AI: The Promise of an Enabling Technology.
Building a Broad Knowledge Graph for Products.
Data Management at Huawei: Recent Accomplishments and Future Challenges.
AsterixDB Mid-Flight: A Case Study in Building Systems in Academia.
