yusuke1997/dblp-id-title huggingface dataset:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts
A D-Truss-Equivalence Based Index for Community Search Over Large Directed Graphs
The Knowledge Acquisition and Representation Language KARL
FairCoRe: Fairness-Aware Recommendation Through Counterfactual Representation Learning
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning
Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning
Future Trends in Database Systems
Guest Editorial: Special Section on the International Conference on Data Engineering
Guest editorial: Special section on the international conference on data engineering
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
Iterative Soft Prompt-Tuning for Unsupervised Domain Adaptation
K-Means-Based Consensus Clustering: A Unified View
Improving Security and Efficiency in Attribute-Based Data Sharing
Fast and Effective Retrieval of Medical Tumor Shapes
Multiple Kernel Subspace Learning for Clustering and Classification
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
LASH: Large-Scale Academic Deep Semantic Hashing
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding
Graft: An Efficient Graphlet Counting Method for Large Graph Analysis
Where to: Crowd-Aided Path Selection by Selective Bayesian Network
Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs
Characterizing Submanifold Region for Out-of-Distribution Detection
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence
Geo-Social K-Cover Group Queries for Collaborative Spatial Computing
Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks
Efficient Algorithms for Temporal Path Computation
GALLOP: GlobAL Feature Fused LOcation Prediction for Different Check-in Scenarios
Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory Generation
Segmented Sequence Prediction Using Variable-Order Markov Model Ensemble
Image Retrieval Based on Regions of Interest
Data Augmented Sequential Recommendation Based on Counterfactual Thinking
Privacy-Preserving Tuple Matching in Distributed Databases
Learning under Concept Drift: A Review
CED: Credible Early Detection of Social Media Rumors
Resilient Identity Crime Detection
Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search
Hyper-Relations: A Model for Denormalization of Transactional Relational Databases
Optimizing Similarity Search for Arbitrary Length Time Series Queries
A Possible World Semantics for Disjunctive Databases
A Modified Chi2 Algorithm for Discretization
Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects
Maintaining Temporal Consistency: Pessimistic vs. Optimitic Concurrency Control
Passive and Partially Active Fault Tolerance for Massively Parallel Stream Processing Engines
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification
Efficient Monitoring Algorithm for Fast News Alerts
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Imputation-Based Ensemble Techniques for Class Imbalance Learning
Collaborative Filtering with Personalized Skylines
False Negative Problem of Counting Bloom Filter
Inductive Learning in Deductive Databases
Hierarchical Sampling for Multi-Instance Ensemble Learning
A Game Theory Inspired Approach to Stable Core Decomposition on Weighted Networks
Distance-Aware Join for Indoor Moving Objects
Time-Aware Gradient Attack on Dynamic Network Link Prediction
An Approach for Modeling and Analysis of Security System Architectures
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge
Detecting Structural Balanced Near-Cliques in Large Signed Graphs
Learning Graph ODE for Continuous-Time Sequential Recommendation
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning
Inferring Full Diffusion History from Partial Timestamps
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining
A Knowledge-Based Approach for Retrieving Images by Content
Energy Efficient Schemes for Accuracy-Guaranteed Sensor Data Aggregation Using Scalable Counting
Implicit Event Argument Extraction With Argument-Argument Relational Knowledge
Product Adoption Rate Prediction in a Competitive Market
A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community
Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse
Engineering Methods for Differentially Private Histograms: Efficiency Beyond Utility
Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences
An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis
Fuzzy Logic - A Modern Perspective
Answering Why-Not Group Spatial Keyword Queries
Smoothing Outlier Scores Is All You Need to Improve Outlier Detectors
Managing Structured and Semistructured RDF Data Using Structure Indexes
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition
Enhance Knowledge Graph Embedding by Mixup
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings
Spark Rough Hypercuboid Approach for Scalable Feature Selection
Text Classification without Negative Examples Revisit
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation
Topic Videolization: A Rumor Detection Method Inspired by Video Forgery Detection Technology
SGSI - A Scalable GPU-Friendly Subgraph Isomorphism Algorithm
Managing and Sharing Servents' Reputations in P2P Systems
Amalur: The Convergence of Data Integration and Machine Learning
A Trajectory-Oriented Locality-Sensitive Hashing Method for User Identification
Identifying Evolving Groups in Dynamic Multimode Networks
Personalized Elastic Embedding Learning for On-Device Recommendation
Dual Structural Consistency Preserving Community Detection on Social Networks
Budget-Constrained Ego Network Extraction With Maximized Willingness
Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection
Privacy Preserving Delegated Access Control in Public Clouds
On the Usefulness of SQL-Query-Similarity Measures to Find User Interests
EDISC: A Class-Tailored Discretization Technique for Rule-Based Classification
Fixed-Cost Pooling Strategies
Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning
A Method for Geodesic Distance on Subdivision of Trees With Arbitrary Orders and Their Applications
Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach
Selecting Attributes for Sentiment Classification Using Feature Relation Networks
Temporal Data Management Systems: A Comparative View
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM
Matching Heterogeneous Event Data
Context-Aware Service Recommendation Based on Knowledge Graph Embedding
Finding Top-k Preferable Products
Discrete Nonnegative Spectral Clustering
Explaining Missing Answers to Top-k SQL Queries
Persistence-Based Motif Discovery in Time Series
It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees
Similarity Measure Selection for Clustering Time Series Databases
Diverse Set Selection Over Dynamic Data
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation
GAFExplainer: Global View Explanation of Graph Neural Networks Through Attribute Augmentation and Fusion Embedding
A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections
BiRank: Towards Ranking on Bipartite Graphs
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction
Diversified Hidden Markov Models for Sequential Labeling
Computing Spatial Distance Histograms for Large Scientific Data Sets On-the-Fly
UNM: A Universal Approach for Noisy Multi-Label Learning
Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
Agents in a Nutshell - A Very Brief Introduction
Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs
A Divide-and-Conquer Approach for Minimum Spanning Tree-Based Clustering
Mining User Queries with Markov Chains: Application to Online Image Retrieval
Large-Scale Clustering With Anchor-Based Constrained Laplacian Rank
Pattern Discovery by Residual Analysis and Recursive Partitioning
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach
Discovering Frequent Generalized Episodes When Events Persist for Different Durations
Online Subgraph Skyline Analysis over Knowledge Graphs
Supporting Search-As-You-Type Using SQL in Databases
Efficient Filtering Algorithms for Location-Aware Publish/Subscribe
A Survey of Uncertain Data Algorithms and Applications
Secure and Efficient Skyline Queries on Encrypted Data
Dual-View Desynchronization Hypergraph Learning for Dynamic Hyperedge Prediction
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
What is Event Knowledge Graph: A Survey
NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Range Aggregate Processing in Spatial Databases
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning
Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs
Rank Aggregation for Automatic Schema Matching
A New Text Categorization Technique Using Distributional Clustering and Learning Logic
Attribute-Level Neighbor Hierarchy Construction Using Evolved Pattern-Based Knowledge Induction
Interpretable Stochastic Block Influence Model: Measuring Social Influence Among Homophilous Communities
COIN-GNN: Inductive Spatial-Temporal Prediction for Continuous Distribution Shifts via Graph Neural Networks
Dynamic Graph Neural Networks for Sequential Recommendation
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation
Discovery of Temporal Network Motifs
Towards Fine-Grained Concept Generation
Robust and Communication-Efficient Federated Domain Adaptation via Random Features
An Efficient Approach for Outlier Detection with Imperfect Data Labels
An Instance-Weighting Method to Induce Cost-Sensitive Trees
Enhancing Domain Generalization for Robust Machine-Generated Text Detection
Probabilistic Learning of Multivariate Time Series With Temporal Irregularity
Adaptive Processing for Distributed Skyline Queries over Uncertain Data
Querying Knowledge Graphs by Example Entity Tuples
On Three Types of Covering-Based Rough Sets
Long-Term Urban Flow Prediction Against Data Distribution Shift: A Causal Perspective
Performance Analysis of Dynamic Finite Versioning Schemes: Storage Cost vs. Obsolescence
A Multistep Approach for Shape Similarity Search in Image Databases
Memory-Guided Multi-View Multi-Domain Fake News Detection
TokenRec: Learning to Tokenize ID for LLM-Based Generative Recommendations
Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery
STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference
Correction to "K Nearest Neighbour Joins for Big Data on MapReduce: A Theoretical and Experimental Analysis"
A Trie Compaction Algorithm for a Large Set of Keys
Longest Increasing Subsequence Computation over Streaming Sequences
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision
Joint Search by Social and Spatial Proximity
Efficient Keyword Search on Uncertain Graph Data
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes
The Design and Implementation of UniKV for Mixed Key-Value Storage Workloads
Multiresolution Web Link Analysis Using Generalized Link Relations
Clearing Contamination in Large Networks
On the Analytical Properties of High-Dimensional Randomization
A Framework for Supervised Classification Performance Analysis with Information-Theoretic Methods
Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction
Guest Editor's Introduction to the Special Section on the IEEE International Conference on Data Engineering
Foreword - Knowledge and Data Engineering: An Outlook
Closeness: A New Privacy Measure for Data Publishing
Evaluation of Reachability Queries Based on Recursive DAG Decomposition
Feature Extraction Based on ICA for Binary Classification Problems
LinkBlackHole * *: Robust Overlapping Community Detection Using Link Embedding
Maximizing a Record's Standing in a Relation
Processing and Evaluating Partial Tree Pattern Queries on XML Data
Data Optimization in Deep Learning: A Survey
Attributed Social Network Embedding
Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption
Wizard: A Database Inference Analysis and Detection System
Competitive Quantization for Approximate Nearest Neighbor Search
OERL: Enhanced Representation Learning via Open Knowledge Graphs
Designing Access Methods for Bitemporal Databases
Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation
A Game-Theoretic Federated Learning Framework for Data Quality Improvement
Evaluating Edge Credibility in Evolving Noisy Social Networks
Development of a Class of Distributed Termination Detection Algorithms
Applying Segmented Right-Deep Trees to Pipelining Multiple Hash Joins
Actively Learning Unified Embeddings for Joint Open Knowledge Base Canonicalization and Linking
On Using Partial Supervision for Text Categorization
GeoCo: Geographical Correlation Enhanced Network for POI Recommendation
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis
Projective Ranking-Based GNN Evasion Attacks
Incremental Computation of Time-Varying Query Expressions
Multi-Task Decouple Learning With Hierarchical Attentive Point Process
Scaling the Construction of Wavelet Synopses for Maximum Error Metrics
Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization
Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding
Partition-Aware Graph Pattern Based Node Matching With Updates
Deep Cross-Modal Face Naming for People News Retrieval
Statistically Significant Pattern Mining With Ordinal Utility
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams
QUEM: An Achievement Test for Knowledge-Based Systems
$\mathsf {CheetahTraj}$CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee
A Knowledge-Based Control Architecture with Interactive Reasoning Functions
Some Remarks on the Paper "semQA: SPARQL with Idempotent Disjunction"
A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator
Enforcement of Autonomous Authorizations in Collaborative Distributed Query Evaluation
Robust Ensemble Clustering Using Probability Trajectories
Social-Aware Sequential Modeling of User Interests: A Deep Learning Approach
Data Mining: An Overview from a Database Perspective
Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework
ADMS: A Testbed for Incremental Access Methods
A Reasoning System of Ternary Projective Relations
The Role of Artificial Intelligence in Understanding the Strategic Decision-Making Process
A System to Filter Unwanted Messages from OSN User Walls
Multi-Source Shortest Path Query With Assembly Points on Large Graphs
Evaluating Aggregate Operations Over Imprecise Data
Increasing Retrieval Quality in Conversational Recommenders
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing
Activity Maximization by Effective Information Diffusion in Social Networks
Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt
Robust Rule-Based Prediction
Adaptive Replication Management in HDFS Based on Supervised Learning
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata
Trust-X: A Peer-to-Peer Framework for Trust Establishment
Patch Alignment for Dimensionality Reduction
Efficient Answering of Why-Not Questions in Similar Graph Matching
On the Robustness of Diffusion in a Network Under Node Attacks
Deep Learning for Approximate Nearest Neighbour Search: A Survey and Future Directions
An Improved Algorithm for Implication Testing Involving Arithmetic Inequalities
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs
Neural Diffusion Model for Microscopic Cascade Study
Automated Phrase Mining from Massive Text Corpora
HGATE: Heterogeneous Graph Attention Auto-Encoders
Approximate Query Processing in Cube Streams
Lossless Selection Views under Conditional Domain Constraints
Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning
Induction of Meta-knowledge about Knowledge Discovery
Answering General Time-Sensitive Queries
TIDY: Publishing a Time Interval Dataset With Differential Privacy
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines
Anomaly Detection for Discrete Sequences: A Survey
Data Consistency in Intermittently Connected Distributed Systems
Multiple Prefetch Adaptive Disk Caching
On Producing High and Early Result Throughput in Multijoin Query Plans
The Organization and Performance of a TREAT-Based Production System Compiler
Improving Availability and Performance with Application-Specific Data Replication
Literature Extraction of Protein Functions Using Sentence Pattern Mining
Logic Programming with Arrays
DeepPick: A Deep Learning Approach to Unveil Outstanding Users With Public Attainable Features
Efficient Entity Resolution on Heterogeneous Records
Editorial: Introducing the New Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering
Efficient Management of Time-Evolving Databases
Multiview Semi-Supervised Learning with Consensus
Boosting Subspace Co-Clustering via Bilateral Graph Convolution
Link Prediction in Stagewise Graphs
An Optimal Online Semi-Connected PLA Algorithm With Maximum Error Bound
Indexing for Multiversion Locking: Alternatives and Performance Evaluation
Guest Editors' Introduction: Rule Representation, Interchange, and Reasoning in Distributed, Heterogeneous Environments
PREPARE: A Toll for Knowledge Base Verification
Building a Scalable Database-Driven Reverse Dictionary
Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation
Performance of B+-Trees with Partial Expansions
Multiple Change Point Detection Method of Profile Data With False Discovery Rate Control
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
A Space-Bounded Anytime Algorithm for the Multiple Longest Common Subsequence Problem
From t-Closeness-Like Privacy to Postrandomization via Information Theory
Subgraph Matching with Set Similarity in a Large Graph Database
Implication and Referential Constraints: A New Formal Reasoning
Paradoxical Correlation Pattern Mining
Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous
Gold Standard Evaluation of Ontology Learning Methods through Ontology Transformation and Alignment
A Context-Based Word Indexing Model for Document Summarization
Correction to "Continual Queries for Internet Scale Event-Driven Information Delivery"
A Survey of Change Point Detection in Dynamic Graphs
Incorporating Social Role Theory into Topic Models for Social Media Content Analysis
Outer Joins and Filters for Instantiating Objects from Relational Databases Through Views
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Robust Online Multi-Task Learning with Correlative and Personalized Structures
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding
Detecting and Representing Relevant Web Deltas in WHOWEDA
Top-k Preferences in High Dimensions
A Data-Driven Approach for Scheduling Bus Services Subject to Demand Constraints
Dual Sentiment Analysis: Considering Two Sides of One Review
Multi-View Attributed Graph Clustering
Modeling Causal Reinforcement and Undermining for Efficient CPT Elicitation
Product Life-Cycle Metadata Modeling and Its Application with RDF
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design
Privacy-Preserving Gradient-Descent Methods
GTCAlign: Global Topology Consistency-Based Graph Alignment
HiTR: Hierarchical Topic Model Re-Estimation for Measuring Topical Diversity of Documents
Online Scheduling Sequential Objects with Periodicity for Dynamic Information Dissemination
Query Reorganization Algorithms for Efficient Boolean Information Filtering
OMG: Towards Effective Graph Classification Against Label Noise
Preserving Privacy by De-Identifying Face Images
Inconsistency-Tolerant Integrity Checking
Fast LDP-MST: An Efficient Density-Peak-Based Clustering Method for Large-Size Datasets
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints
Range-Based Skyline Queries in Mobile Environments
Returning Clustered Results for Keyword Search on XML Documents
Domain Adaptation via Learning Using Statistical Invariant
A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation
Indexing Animated Objects Using Spatiotemporal Access Methods
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction
Solving Constraint Optimization Problems from CLP-Style Specifications Using Heuristic Search Techniques
SlashBurn: Graph Compression and Mining beyond Caveman Communities
A Quality-Sensitive Method for Learning from Crowds
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation
Discovery of Cross Joins
Meta Auxiliary Learning for Top-K Recommendation
An Unsupervised Feature Selection Framework for Social Media Data
Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation
Hierarchical Causal Discovery From Large-Scale Observed Variables
Adversarial Attack and Defense on Discrete Time Dynamic Graphs
A Comprehensive Survey on Multi-View Clustering
Calculating Salience and Breath of Knowledge
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases
T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs