yusuke1997/dblp-id-title huggingface dataset:
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits
Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning
Location Inference for Non-Geotagged Tweets in User Timelines
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning
Interrelated Dense Pattern Detection in Multilayer Networks
Doing More With Less: A Survey of Data Selection Methods for Mathematical Modeling
Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets
RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency
Organizing and Understanding Beliefs in Advice-Giving Diagnostic Systems
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data
Response Time Driven Multimedia Data Objects Allocation for Browsing Documents in Distributed Environments
Object-Orientated Design of Digital Library Platforms for Multiagent Environments
Resilient and Coherence Preserving Dissemination of Dynamic Data Using Cooperating Peers
Local Kernel Regression Score for Selecting Features of High-Dimensional Data
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce
RollStore: Hybrid Onchain-Offchain Data Indexing for Blockchain Applications
Integrating Heuristic Knowledge and Optimization Models for Communications Network Design
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network
A Transparent Schema-Evolution System Based on Object-Oriented View Technology
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks
The Hierarchical Degree-of-Visibility Tree
Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks
LERI: Local Exploration for Rare-Category Identification
Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations
Heterogeneous Environment Aware Streaming Graph Partitioning
Is Sharing Neighbor Generator in Federated Graph Learning Safe?
ODIN: Object Density Aware Index for C$k$kNN Queries Over Moving Objects on Road Networks
Large Scale Network Embedding: A Separable Approach
The Partitioned Synchronization Rule for Planar Extendible Partial Orders
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams
Competition and Cooperation: Global Task Assignment in Spatial Crowdsourcing
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals
An Integrated Data Preparation Scheme for Neural Network Data Analysis
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network
Making Compiling Query Engines Practical
User Interface Derivation for Business Processes
Structural Diversity for Resisting Community Identification in Published Social Networks
Publishing Search Logs - A Comparative Study of Privacy Guarantees
Applications of Abduction: Testing Very Long Qualitative Simulations
A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining
A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification
Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction
Profiling Entities over Time in the Presence of Unreliable Sources
On Extracting Socially Tenuous Groups for Online Social Networks With $k$k-Triangles
ReFinder: A Context-Based Information Refinding System
LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social Networks
On the Expressive Power of the Relational Algebra on Finite Sets of Relation Pairs
Deriving Concept-Based User Profiles from Search Engine Logs
FlexIM: Efficient and Verifiable Index Management in Blockchain
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting
Indexing Uncertain Data in General Metric Spaces
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals
Multi-View Missing Data Completion
Point-Set Kernel Clustering
BisSiam: Bispectrum Siamese Network Based Contrastive Learning for UAV Anomaly Detection
Edge Manipulation Approaches for K-Core Minimization: Metrics and Analytics
Achieving Data Privacy through Secrecy Views and Null-Based Virtual Updates
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
A Flexible Ontology Reasoning Architecture for the Semantic Web
BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing
Verification and Validation of Knowledge-Based Systems
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach
ImageMap: An Image Indexing Method Based on Spatial Similarity
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting
HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning
Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem
A General Survey on Attention Mechanisms in Deep Learning
Termination and Confluence by Rule Prioritization
Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks
Group-Aware Dynamic Graph Representation Learning for Next POI Recommendation
Clique Identification in Signed Graphs: A Balance Theory Based Model
A Survey on Content-Based Retrieval for Multimedia Databases
Discovering Colocation Patterns from Spatial Data Sets: A General Approach
Efficient Cluster Labeling for Support Vector Clustering
Time- and Space-Efficiently Sketching Billion-Scale Attributed Networks
OpDiag: Unveiling Database Performance Anomalies Through Query Operator Attribution
Privacy Engineering for the Smart Micro-Grid
A Temporal Pattern Search Algorithm for Personal History Event Visualization
Enhancing Data Analysis with Noise Removal
Performance Analysis of Parallel Query Processing Algorithms for Object-Oriented Databases
Automated Graph Neural Network Search Under Federated Learning Framework
Ontological Versus Knowledge Engineering
Cross-Temporal Snapshot Alignment for Dynamic Networks
Linkable Ring Signature with Unconditional Anonymity
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic
Extended XML Tree Pattern Matching: Theories and Algorithms
Symbolic Interpretation of Artificial Neural Networks
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation
DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services
A Unified Framework for Answering k Closest Pairs Queries and Variants
Joint Deep Multi-View Learning for Image Clustering
An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering
Automating IoT Data-Intensive Application Allocation in Clustered Edge Computing
Range Queries on Multi-Attribute Trajectories
A General Theory of IR Evaluation Measures
Efficient Approximation of Correlated Sums on Data Streams
Techniques for Increasing the Stream Capacity of A High-Performance Multimedia Server
Integrity Constraints in the Information Source Tracking Method
Customizing Transaction Models and Mechanisms in a Programmable Environment Supporting Reliable Workflow Automation
From Wrapping to Knowledge
Enhancing Learning Objects with an Ontology-Based Memory
PiTruss Community Search for Multilayer Graphs
CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning
AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes
Active Learning from Relative Comparisons
GloDyNE: Global Topology Preserving Dynamic Network Embedding
Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning
Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information
Discovery of Path Nearby Clusters in Spatial Networks
Redefining Clustering for High-Dimensional Applications
The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets
Spatial Query Integrity with Voronoi Neighbors
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Efficient and Effective Duplicate Detection in Hierarchical Data
TERL: Two-Stage Ensemble Reinforcement Learning Paradigm for Large-Scale Decentralized Decision Making in Transportation Simulation
A Practical and Effective Sampling Selection Strategy for Large Scale Deduplication
Incremental Evolving Domain Adaptation
Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data
Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs
An Efficient Inductive Learning Method for Object-Oriented Database Using Attribute Entropy
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts
A Semi-Automatic Design Methodology for (Big) Data Warehouse Transforming Facts into Dimensions
Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification
Guest Editors' Introduction to the Special Section on the 33rd International Conference on Data Engineering (ICDE 2017)
T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data
Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering
Nonnegative Matrix Factorization: A Comprehensive Review
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data
Spatio-Temporal Analysis of Passive Consumption in Internet Media
Iterative Graph Self-Distillation
Development of a Bayesian Framework for Determining Uncertainty in Receiver Operating Characteristic Curve Estimates
Process Discovery Algorithms Using Numerical Abstract Domains
Weakly Supervised Joint Sentiment-Topic Detection from Text
Selective and Authentic Third-Party Distribution of XML Documents
Practical Data Prediction for Real-World Wireless Sensor Networks
A General Centrality Framework-Based on Node Navigability
Modeling and Computing Ternary Projective Relations between Regions
Introduction to the Domain-Driven Data Mining Special Section
Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine
Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count Approach
Security Constraints in a Multilevel Secure Distributed Database Management System
Multi-View Fuzzy Representation Learning With Rules Based Model
Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data
Customized Policies for Handling Partial Information in Relational Databases
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach
Efficient Phrase-Based Document Similarity for Clustering
A Method for Estimating the Precision of Placename Matching
Adaptive Anomaly Detection with Kernel Eigenspace Splitting and Merging
Personalized Review Summarization by Using Graph-Based Retrieval Augmemted Generation
Flag Commit: Supporting Efficient Transaction Recovery in Flash-Based DBMSs
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction
Magnitude Bounded Matrix Factorisation for Recommender Systems
Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine
A Unified Framework for Community Detection and Network Representation Learning
Energy Time Series Forecasting Based on Pattern Sequence Similarity
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks
Adaptive Diffusion of Sensitive Information in Online Social Networks
Geometric Monitoring of Heterogeneous Streams
Revisiting Embedding-Based Entity Alignment: A Robust and Adaptive Method
On the Complexity of Bounded View Propagation for Conjunctive Queries
Decision Tree Learning for Uncertain Clinical Measurements
Scalable Learning of Collective Behavior
Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period
A Generic Method for Accelerating LSH-Based Similarity Join Processing
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction
\(\mathsf{B}^{p}\) - \(\mathsf{Tree}\) : A Predictive \(\mathsf{B}^{+}\) - \(\mathsf{Tree}\) for Reducing Writes on Phase Change Memory
Watermarking Relational Databases Using Optimization-Based Techniques
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation
Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Tensor-Train Decomposition in the Presence of Interval-Valued Data
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction
Correction to "Server Capacity Planning for Web Traffic Workload"
CrowdOp: Query Optimization for Declarative Crowdsourcing Systems
Reducing the Storage Requirements of a Perfect Hash Function
Granular Computing and Knowledge Reduction in Formal Contexts
Indexing High-Dimensional Data for Efficient In-Memory Similarity Search
Efficient Signature File Methods for Text Retrieval
A Review and Future Perspectives of Arabic Question Answering Systems
Efficient Algorithms for Group Hitting Probability Queries on Large Graphs
SAP: Improving Continuous Top-K Queries Over Streaming Data
Checking Chase Termination: Cyclicity Analysis and Rewriting Techniques
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario
CCAM: A Connectivity-Clustered Access Method for Networks and Network Computations
OMCR: An Online Multivariate Forecaster for Cloud Resource Management
Stable Community Detection in Signed Social Networks
A New Methodology to Evaluate Locking Protocols
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression
An Efficient Multiversion Access STructure
Network Controllability Perspectives on Graph Representation
Cross-Graph Embedding With Trainable Proximity for Graph Alignment
Analysis of the Probability of Transaction Abort and Throughput of Two Timestamp Ordering Algorithms for Database Systems
Constrained Generative Adversarial Learning for Dimensionality Reduction
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
LS-Join: Local Similarity Join on String Collections
ATPF: An Adaptive Temporal Perturbation Framework for Adversarial Attacks on Temporal Knowledge Graph
Automated Influence Maintenance in Social Networks: An Agent-based Approach
Context Correlation Discrepancy Analysis for Graph Anomaly Detection
Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey
One-Step Pairwise Constrained Multi-View Clustering in Linear Time
Application Sensitive Energy Management Framework for Storage Systems
Effective Clustering via Structured Graph Learning
Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning
A New Query Recommendation Method Supporting Exploratory Search Based on Search Goal Shift Graphs
SAX Discretization Does Not Guarantee Equiprobable Symbols
Automatic Website Summarization by Image Content: A Case Study with Logo and Trademark Images
Automated Prompting for Non-Overlapping Cross-Domain Sequential Recommendation
BinRank: Scaling Dynamic Authority-Based Search Using Materialized Subgraphs
Discovery of Inexact Concepts from Structural Data
Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning
Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification
TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding
Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
Editor-in-Chief Prefaces Special-Edition Tribute
Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations"
Guest Editors' Introduction: Special Section on Intelligence and Security Informatics
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification
Bayes-Optimal Hierarchical Multilabel Classification
Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites
Provenance Graph Kernel
Towards Multi-User, Secure, and Verifiable $k$NN Query in Cloud Database
Demythization of Structural XML Query Processing: Comparison of Holistic and Binary Approaches
Instance-Dependent Incomplete Multi-Label Feature Selection by Fuzzy Tolerance Relation and Fuzzy Mutual Implication Granularity
Publishing Graphs Under Node Differential Privacy
Unsupervised Adaptive Bipartite Graph Embedding
Task Variance Regularized Multi-Task Learning
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning
Reliable Accuracy Estimates from k-Fold Cross Validation
Efficient Execution of Read-Only Transactions in Replicated Multiversion Databases
Workload Management in Database Management Systems: A Taxonomy
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn
Guest Editors' Introduction: Special Section on Mining and Searching the Web
The Design, Implementation, and Performance Evaluation of BERMUDA
Workflow and End-User Quality of Service Issues in Web-Based Education
Rewriting Queries for Hyper-Relations
GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection
Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning
Fast Gumbel-Max Sketch and its Applications
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks
Item Concept Network: Towards Concept-Based Item Representation Learning
Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection
Approximate Algorithms for Computing Spatial Distance Histograms with Accuracy Guarantees
Using Personalization to Improve XML Retrieval
Improving the Quality of Web-Based Data Imputation With Crowd Intervention
Modeling Signed Networks as 2-Layer Growing Networks
Program Transformations for Asynchronous and Batched Query Submission
Combining Tag and Value Similarity for Data Extraction and Alignment
Using Incremental PLSI for Threshold-Resilient Online Event Analysis
Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach
Learning to Predict: INC2.5
Scaling Access to Heterogeneous Data Sources with DISCO
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios
Hybrid-Order Anomaly Detection on Attributed Networks
Extended Subtree: A New SimilarityFunction for Tree Structured Data
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information
Multilevel Extendible Hashing: A File Structure for Very Large Databases
Feature Space Recovery for Efficient Incomplete Multi-View Clustering
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering
An Alternative Paradigm for Scalable On-Demand Applications: Evaluating and Deploying the Interactive Multimedia Jukebox
The GraphTempo Framework for Exploring the Evolution of a Graph Through Pattern Aggregation
ProbMinHash - A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale
Call for Papers: Cloud Data Management
Fine-Grained Knowledge Sharing in Collaborative Environments
Temporal Interaction and Causal Influence in Community-Based Question Answering
Knowledge Discovery in Services (KDS): Aggregating Software Services to Discover Enterprise Mashups
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
Automatic Text Categorization and Its Application to Text Retrieval
Nonthreshold-Based Event Detection for 3D Environment Monitoring in Sensor Networks
Efficient Cost Models for Spatial Queries Using R-Trees
Comments on 'Hash-Based and Index-Based Join Algorithms for Cube and Ring Connected Multicomputers'
Distributed Optimistic Concurrency Control Methods for High-Performance Transaction Processing
Fast Long Sequence Time-Series Forecasting for Edge Service Running State Based on Data Drift and Non-Stationarity
Comparing Scores Intended for Ranking
Toward Integrating Feature Selection Algorithms for Classification and Clustering
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs
LookCom: Learning Optimal Network for Community Detection
Mixed-Modality Clustering via Generative Graph Structure Matching
Exploring into Programs for the Recovery of Data Dependencies Designed
Global-Local Feature Learning via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction
mSHINE: A Multiple-Meta-Paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
Fast Nearest Neighbor Search with Keywords
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm
Few-Shot Knowledge Graph Completion With Star and Ring Topology Information Aggregation
A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data
Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation
Data Resource Selection in Distributed Visual Information Systems
Efficient Classification across Multiple Database Relations: A CrossMine Approach
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
Crowdsourced Trace Similarity with Smartphones
Efficient Determination of Distance Thresholds for Differential Dependencies
Generalized Normal Forms for Probabilistic Relational Data
Integrated Personalized and Diversified Search Based on Search Logs
Network Intervention for Mental Disorders with Minimum Small Dense Subgroups
Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting
Sylvester Equation Induced Collaborative Representation Learning for Recommendation
Service Quality Evaluation by Exploring Social Users' Contextual Information
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction
Community Deception or: How to Stop Fearing Community Detection Algorithms
Introducing Time into RDF
Hierarchical Dynamic Graph Clustering Network
Spatial Distribution-Based Imbalanced Undersampling
Reverse Keyword Search for Spatio-Textual Top-$k$ Queries in Location-Based Services
Document Summarization for Answering Non-Factoid Queries
Optimal Symbol Alignment Distance: A New Distance for Sequences of Symbols
Link Prediction with Contextualized Self-Supervision
Towards Benchmarks for Knowledge Systems and Their Implications for Data Engineering
AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection
A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization
Multi-Label Clinical Time-Series Generation via Conditional GAN
Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs
Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification