icde 2020 论文列表
36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020.
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Implementation of physiological signal based emotion recognition algorithm.
Efficient Entity Resolution on Heterogeneous Records (Extended abstract).
Picube for Fast Exploration of Large Datasets.
Area Queries Based on Voronoi Diagrams.
Data Series Indexing Gone Parallel.
Design of Database Systems with DRAM-only Heterogeneous Memory Architecture.
Spark Performance Optimization Analysis In Memory Management with Deploy Mode In Standalone Cluster Computing.
Neighborhood density correlation clustering.
Matrix Factorization with Interval-Valued Data.
A Transformation-based Framework for KNN Set Similarity Search(Extended Abstract).
ESPM: Efficient Spatial Pattern Matching (Extended Abstract).
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract).
HisRect: Features from Historical Visits and Recent Tweet for Co-Location Judgement.
Answering Skyline Queries over Incomplete Data with Crowdsourcing(Extended Abstract).
Demythization of Structural XML Query Processing: Comparison of Holistic and Binary Approaches (Extended Abstract).
Efficient Distance Sensitivity Oracles for Real-World Graph Data.
ChronoGraph: Enabling temporal graph traversals for efficient information diffusion analysis over time.
On Nearby-Fit Spatial Keyword Queries (Extended Abstract).
The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract).
TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract).
DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract).
Shortest Path Queries for Indoor Venues with Temporal Variations.
Learning to Rank Paths in Spatial Networks.
TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data.
Fast Error-tolerant Location-aware Query Autocompletion.
Graph Embeddings for One-pass Processing of Heterogeneous Queries.
A Class of R*-tree Indexes for Spatial-Visual Search of Geo-tagged Street Images.
Efficient Locality-Sensitive Hashing Over High-Dimensional Data Streams.
Permutation Index: Exploiting Data Skew for Improved Query Performance.
Online Pricing with Reserve Price Constraint for Personal Data Markets.
Keys as Features for Graph Entity Matching.
Efficient Weighted Independent Set Computation over Large Graphs.
Efficient Structural Clustering in Large Uncertain Graphs.
FlashSchema: Achieving High Quality XML Schemas with Powerful Inference Algorithms and Large-scale Schema Data.
GraphAE: Adaptive Embedding across Graphs.
HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks.
StructSim: Querying Structural Node Similarity at Billion Scale.
Computing Mutual Information of Big Categorical Data and Its Application to Feature Grouping.
HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations.
PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining.
Deciding When to Trade Data Freshness for Performance in MongoDB-as-a-Service.
Reasoning about the Future in Blockchain Databases.
BFT-Store: Storage Partition for Permissioned Blockchain via Erasure Coding.
Towards Locally Differentially Private Generic Graph Metric Estimation.
An Intersectional Definition of Fairness.
Approximate Quantiles for Datacenter Telemetry Monitoring.
A Hybrid Learning Approach to Stochastic Routing.
Toward Sampling for Deep Learning Model Diagnosis.
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem.
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field.
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version).
Preserving Contextual Information in Relational Matrix Operations.
Outdated Fact Detection in Knowledge Bases.
Query-driven Repair of Functional Dependency Violations.
The Pastwatch: On the usability of provenance data in relational databases.
Discovering Band Order Dependencies.
InvaliDB: Scalable Push-Based Real-Time Queries on Top of Pull-Based Databases.
Collective Entity Alignment via Adaptive Features.
Traffic Incident Detection: A Trajectory-based Approach.
Target Privacy Preserving for Social Networks.
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling.
A Unified Framework for Multi-view Spectral Clustering.
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors.
Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries.
Hierarchical Quick Shift Guided Recurrent Clustering.
SLED: Semi-supervised Locally-weighted Ensemble Detector.
Automated Anomaly Detection in Large Sequences.
Mining Verb-Oriented Commonsense Knowledge.
FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network.
Learning to Simulate Vehicle Trajectories from Demonstrations.
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
Crowdsourcing-based Data Extraction from Visualization Charts.
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach.
Task Deployment Recommendation with Worker Availability.
PushdownDB: Accelerating a DBMS Using S3 Computation.
Advances in Cryptography and Secure Hardware for Data Outsourcing.
Modern Large-Scale Data Management Systems after 40 Years of Consensus.
Visualization Systems for Linked Datasets.
On the Integration of Machine Learning and Array Databases.
Machine Learning Meets Big Spatial Data.
SAD: An Unsupervised System for Subsequence Anomaly Detection.
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection.
DLEEL: Multi-Predicate Spatial Queries on User-generated Streaming Data.
Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams.
DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening.
SCLPD: Smart Cargo Loading Plan Decision Framework.
Automating Software Citation using GitCite.
SUDAF: Sharing User-Defined Aggregate Functions.
CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks.
PocketView: A Concise and Informative Data Summarizer.
RIDE: A System for Generalized Region of Interest Discovery and Exploration.
MusX: Online Exploring and Visualizing Graph-Based Musical Adaptations.
vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval.
JODA: A Vertically Scalable, Lightweight JSON Processor for Big Data Transformations.
MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks.
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications.
HomoPAI: A Secure Collaborative Machine Learning Platform based on Homomorphic Encryption.
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis.
LoCEC: Local Community-based Edge Classification in Large Online Social Networks.
Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications.
Billion-scale Recommendation with Heterogeneous Side Information at Taobao.
Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search.
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.
Automatic Calibration of Road Intersection Topology using Trajectories.
Maxson: Reduce Duplicate Parsing Overhead on Raw Data.
De-Health: All Your Online Health Information Are Belong to Us.
Speed Kit: A Polyglot & GDPR-Compliant Approach For Caching Personalized Content.
Turbine: Facebook's Service Management Platform for Stream Processing.
Data Sentinel: A Declarative Production-Scale Data Validation Platform.
Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database.
JUST: JD Urban Spatio-Temporal Data Engine.
PSGraph: How Tencent trains extremely large-scale graphs with Spark?
Towards Concurrent Stateful Stream Processing on Multicore Processors.
In-database connected component analysis.
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent.
Automatic View Generation with Deep Learning and Reinforcement Learning.
ML-based Cross-Platform Query Optimization.
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory.
FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs.
Towards Factorized SVM with Gaussian Kernels over Normalized Data.
Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks.
Query Results over Ongoing Databases that Remain Valid as Time Passes By.
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML.
DynaMast: Adaptive Dynamic Mastering for Replicated Systems.
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph.
On Sharding Open Blockchains with Smart Contracts.
SeeMoRe: A Fault-Tolerant Protocol for Hybrid Cloud Environments.
Two-Level Data Compression using Machine Learning in Time Series Database.
SuRF: Identification of Interesting Data Regions with Surrogate Models.
Approximate Query Processing for Data Exploration using Deep Generative Models.
Reinforcement Learning with Tree-LSTM for Join Order Selection.
Video Monitoring Queries.
Getting Swole: Generating Access-Aware Code with Predicate Pullups.
FPGA-based Compaction Engine for Accelerating LSM-tree Key-Value Stores.
GSI: GPU-friendly Subgraph Isomorphism.
Doubleheader Logging: Eliminating Journal Write Overhead for Mobile DBMS.
Latte: A Native Table Engine On Nvme Storage.
Indoor Top-k Keyword-aware Routing Query.
Efficient Attribute-Constrained Co-Located Community Search.
Fast Query Decomposition for Batch Shortest Path Processing in Road Networks.
Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction.
Turbocharging Geospatial Visualization Dashboards via a Materialized Sampling Cube Approach.
Efficiently Answering Span-Reachability Queries in Large Temporal Graphs.
CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs.
An Interval-centric Model for Distributed Computing over Temporal Graphs.
Temporal Network Representation Learning via Historical Neighborhoods Aggregation.
SPEAr: Expediting Stream Processing with Accuracy Guarantees.
Load Shedding for Complex Event Processing: Input-based and State-based Techniques.
Adaptive Top-k Overlap Set Similarity Joins.
Enabling Efficient Random Access to Hierarchically-Compressed Data.
Online Indices for Predictive Top-k Entity and Aggregate Queries on Knowledge Graphs.
R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces.
SONG: Approximate Nearest Neighbor Search on GPU.
Improving Neural Relation Extraction with Implicit Mutual Relations.
Being Happy with the Least: Achieving α-happiness with Minimum Number of Tuples.
Parallel Semantic Trajectory Similarity Join.
Task Allocation in Dependency-aware Spatial Crowdsourcing.
Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing.
Mobility-Aware Dynamic Taxi Ridesharing.
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling.
VAC: Vertex-Centric Attributed Community Search.
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks.
Index-Free Approach with Theoretical Guarantee for Efficient Random Walk with Restart Query.
Effective and Efficient Truss Computation over Large Heterogeneous Information Networks.
Efficient Team Formation in Social Networks based on Constrained Pattern Graph.
Summarizing Hierarchical Multidimensional Data.
A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering.
SAN : Scale-Space Attention Networks.
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
Multiscale Frequent Co-movement Pattern Mining.
Contribution Maximization in Probabilistic Datalog.
Scaling Out Schema-free Stream Joins.
Speeding Up GED Verification for Graph Similarity Search.
The Art of Efficient In-memory Query Processing on NUMA Systems: a Systematic Approach.
Continuously Tracking Core Items in Data Streams with Probabilistic Decays.
An Agile Sample Maintenance Approach for Agile Analytics.
User-driven Error Detection for Time Series with Events.
Interactive Cleaning for Progressive Visualization through Composite Questions.
Swapping Repair for Misplaced Attribute Values.
Dataset Discovery in Data Lakes.
Updates-Aware Graph Pattern based Node Matching.
Finding the Best k in Core Decomposition: A Time and Space Optimal Solution.
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine.
Efficient Bitruss Decomposition for Large-scale Bipartite Graphs.
Efficient Approximation Algorithms for Adaptive Target Profit Maximization.
Multiple Dense Subtensor Estimation with High Density Guarantee.
Statistical Estimation of Diffusion Network Topologies.
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution.
An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data.
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings.
Cool, a COhort OnLine analytical processing system.
Distributed Streaming Set Similarity Join.
PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe.
Random Sampling for Group-By Queries.
ChainLink: Indexing Big Time Series Data For Long Subsequence Matching.
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach.
Providing Input-Discriminative Protection for Local Differential Privacy.
One-sided Differential Privacy.
To Warn or Not to Warn: Online Signaling in Audit Games.
Privacy-preserving Real-time Anomaly Detection Using Edge Computing.
PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks.
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs.
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.
Optimizing Knowledge Graphs through Voting-based User Feedback.
Anchored Vertex Exploration for Community Engagement in Social Networks.
Skyline Cohesive Group Queries in Large Road-social Networks.
Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values.
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining.
Active Model Selection for Positive Unlabeled Time Series Classification.
Spatial Transition Learning on Road Networks with Deep Probabilistic Models.
MESSI: In-Memory Data Series Indexing.
Improved Correlated Sampling for Join Size Estimation.
UniKV: Toward High-Performance and Scalable KV Storage in Mixed Workloads via Unified Indexing.
Efficient Query Processing with Optimistically Compressed Hash Tables & Strings in the USSR.
I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions.
SFour: A Protocol for Cryptographically Secure Record Linkage at Scale.
An Anomaly Detection System for the Protection of Relational Database Systems against Data Leakage by Application Programs.
SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform*.
Practical Anonymous Subscription with Revocation Based on Broadcast Encryption.
Repairing Entities using Star Constraints in Multirelational Graphs.
Adaptive Relation Discovery from Focusing Seeds on Large Networks.
Efficient Top-k Edge Structural Diversity Search.
Kaskade: Graph Views for Efficient Graph Analytics.
Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation.
Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences.
PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems.
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network.
Price-aware Recommendation with Graph Convolutional Networks.
Group Recommendation with Latent Voting Mechanism.
Array-based Data Management for Genomics.
A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding.
Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.
Efficient Diversity-Driven Ensemble for Deep Neural Networks.
Efficient Bidirectional Order Dependency Discovery.
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.
Crowdsourced Collective Entity Resolution with Relational Match Propagation.
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach.
Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach.
Real-Time Cross Online Matching in Spatial Crowdsourcing.
