yusuke1997/dblp-id-title huggingface dataset:
A Multiagent Update Process in a Database with Temporal Data Dependencies and Schema Versioning
DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding
Route Recommendations for Intelligent Transportation Services
Multi-Task Learning for Recommendation Over Heterogeneous Information Network
Non-Redundant 2D Strings
SimRank on Uncertain Graphs
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts
Clustering Uncertain Data Based on Probability Distribution Similarity
Object-Oriented Databases: Definition and Research Directions
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring
PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization
Robust Network Enhancement From Flawed Networks
KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
A Novel Bayes Model: Hidden Naive Bayes
Statistical Inference of Diffusion Networks
Spatio-Temporal Composition of Video Objects: Representation and Querying in Video Database Systems
Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains
A Self-Organizing Computing Network for Decision-Making in Data Sets with a Diversity of Data Types
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures
Distributed and Reactive Query Planning in R-MAGIC: An Agent-Based Multimedia Retrieval System
Dynamic Prototype Network Based on Sample Adaptation for Few-Shot Malware Detection
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
Broad Learning Autoencoder With Graph Structure for Data Clustering
Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning
Fast Streaming k -Means Clustering With Coreset Caching
Sampling Online Social Networks
Unsupervised Detection of Behavioural Drifts With Dynamic Clustering and Trajectory Analysis
CLEAR: Spatial-Temporal Traffic Data Representation Learning for Traffic Prediction
Inference-Based Naïve Bayes: Turning Naïve Bayes Cost-Sensitive
Resolving Database Incompatibility: An Approach to Performing Relational Operations over Mismatched Domains
Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks
Adversarial Attack and Defense on Graph Data: A Survey
On Summarization and Timeline Generation for Evolutionary Tweet Streams
AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures
Gecko: Efficient Sliding Window Aggregation With Granular-Based Bulk Eviction Over Big Data Streams
FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning
Toward Unsupervised Correlation Preserving Discretization
Parallel Hash-Based Join Algorithms for a Shared-Everything
Curriculum Knowledge Representation and Manipulation in Knowledge-Based Tutoring Systems
Fast Best-Effort Search on Graphs with Multiple Attributes
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models
System Guided View Integration for Object-Oriented Databases
A Multidimensional Sequence Approach to Measuring Tree Similarity
Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer Heterogeneity
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering
Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision, and Variable Certainty Weights
Multi-Party Sequential Data Publishing Under Differential Privacy
A Web Services Discovery Approach Based on Mining Underlying Interface Semantics
MAS-Encryption and its Applications in Privacy-Preserving Classifiers
CorrectMR: Authentication of Distributed SQL Execution on MapReduce
Data-Driven Link Screening for Increasing Network Predictability
Representing Knowledge by Neural Networks for Qualitative Analysis and Reasoning
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels
Local Thresholding in GeneralNetwork Graphs
PAXQuery: Efficient Parallel Processing of Complex XQuery
A Method for Putting Common Sense into an Expert Systems
Classifier Ensembles with a Random Linear Oracle
A Survey on Spatial Prediction Methods
Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection
On Minimal Steiner Maximum-Connected Subgraph Queries
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems
CogBoost: Boosting for Fast Cost-Sensitive Graph Classification
Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval
Persistently Cached B-Trees
An Efficient Web Page Change Detection System Based on an Optimized Hungarian Algorithm
Finding High-Quality Item Attributes for Recommendation
An Architectural Framework for CKBS Applications
Efficient C4.5
Discriminative Training of the Hidden Vector State Model for Semantic Parsing
A Hierarchical Tensor-Based Approach to Compressing, Updating and Querying Geospatial Data
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series
Metadata for Anomaly-Based Security Protocol Attack Deduction
Picture Similarity Retrieval Using 2D Projection Interval Representation
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation
Segmented Information Dispersal (SID) Data Layouts for Digital Video Servers
ZBTree: A Fast and Scalable B$^+$+-Tree for Persistent Memory
Missing Value Imputation via Clusterwise Linear Regression
Explaining Classifications For Individual Instances
Contrastive Time-Series Anomaly Detection
Clarifying Trust in Social Internet of Things
Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning
Online Random Shuffling of Large Database Tables
A Spatio-Temporal Semantic Model for Multimedia Database Systems and Multimedia Information Systems
Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning
A Robust, Distortion Minimizing Technique for Watermarking Relational Databases Using Once-for-All Usability Constraints
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
A Survey on Context Learning
Efficient Similarity-Aware Influence Maximization in Geo-Social Network
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks
Feature Selection for Neural Networks Using Group Lasso Regularization
Structure-Aware Subspace Clustering
Quasi-SLCA Based Keyword QueryProcessing over Probabilistic XML Data
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
Optimal Models of Disjunctive Logic Programs: Semantics, Complexity, and Computation
An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search
Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning
Continuous Geo-Social Group Monitoring in Dynamic LBSNs
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment
Efficient Evaluation of SUM Queries over Probabilistic Data
Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
Reliable Keyword Query Interpretation on Summary Graphs
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization
Duplicate-Insensitive Order Statistics Computation over Data Streams
Hierarchical Intent-Based Interest Disentanglement for Personalized Recommendation
Hide and Mine in Strings: Hardness, Algorithms, and Experiments
Practical Equi-Join Over Encrypted Database With Reduced Leakage
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework
Ranking on Data Manifold with Sink Points
RMD-Graph: Adversarial Attacks Resisting Malicious Domain Detection Based on Dual Denoising
Signed Clique Search in Signed Networks: Concepts and Algorithms
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding
The PSTR/SNS Scheme for Real-Time Fault Tolerance via Active Object Replication and Network Surveillance
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification
Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy
Efficient Techniques for Online Record Linkage
Semiautomatic Acquisition of Semantic Structures for Understanding Domain-Specific Natural Language Queries
Graph-Convolved Factorization Machines for Personalized Recommendation
Preventing Private Information Inference Attacks on Social Networks
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
Online Ensemble Learning of Data Streams with Gradually Evolved Classes
Distributional Shortest-Path Graph Kernels
A Fast Multiple Longest Common Subsequence (MLCS) Algorithm
On Graph Features of Semantic Web Schemas
Comparison of Database Replication Techniques Based on Total Order Broadcast
A Predictive-Reactive Method for Improving the Robustness of Real-Time Data Services
Efficient Periodicity Mining in Time Series Databases Using Suffix Trees
Generative Evolutionary Anomaly Detection in Dynamic Networks
RobustECD: Enhancement of Network Structure for Robust Community Detection
Flexible Keyword-Aware Top-$k$k Route Search
Sparse Graph Attention Networks
Efficiently Processing Spatial and Keyword Queries in Indoor Venues
Artificial Intelligence in Management: Future Challenges
An Error-Resilient and Tunable Distributed Indexing Scheme for Wireless Data Broadcast
Privacy Data Diffusion Modeling and Preserving in Online Social Network
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach
Distribution-Aware Crowdsourced Entity Collection
A Scrambling Method for Fingerprint Positioning Based on Temporal Diversity and Spatial Dependency
Learning Discriminative Text Representation for Streaming Social Event Detection
Semantic Query Optimization for Tree and Chain Queries
Resource Discovery in a European Spatial Data Infrastructure
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction
Reasoning about Distributed Knowledge-Transforming Peer Interactions
Efficient Heterogeneous Graph Learning via Random Projection
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus
The EVE Approach: View Synchronization in Dynamic Distributed Environments
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization
Efficient Distributed k-Clique Mining for Large Networks Using MapReduce
Temporal Graph Cube
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
Exploring Hierarchical Structures for Recommender Systems
Ten Challenging Problems in Federated Foundation Models
Symbolic Description and Visual Querying of Image Sequences Using Spatio-Temporal Logic
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events
Semantic-Aware and QoS-Aware Image Caching in Ad Hoc Networks
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing
Supervised Feature Selection via Multi-Center and Local Structure Learning
Bayesian Networks for Data Integration in the Absence of Foreign Keys
Filtering Data Streams for Entity-Based Continuous Queries
Efficient Multiview Representation Learning With Correntropy and Anchor Graph
Knowledge Graph Embedding by Double Limit Scoring Loss
Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling
Scalable Cache Invalidation Algorithms for Mobile Data Access
S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework
Understanding Urban Dynamics via State-Sharing Hidden Markov Model
Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms
Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment
Record Matching over Query Results from Multiple Web Databases
Ontological Evaluation of Enterprise Systems Interoperability Using ebXML
Using Survival Theory in Early Pattern Detection for Viral Cascades
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation
A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation
A Methodology for Integration of Heterogeneous Databases
Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
Spiral of Silence and Its Application in Recommender Systems
A New Method for Measuring Topological Structure Similarity between Complex Trajectories
Discovering the Top-k Unexplained Sequences in Time-Stamped Observation Data
Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets
TKDE Guidelines for Survey Papers
VENUS: A System for Streamlined Graph Computation on a Single PC
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
HJE: Joint Convolutional Representation Learning for Knowledge Hypergraph Completion
An ElGamal-Like Cryptosystem for Enciphering Large Messages
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference
An Integrated Multi-Task Model for Fake News Detection
Development and Application of Expert System in Audit Services
1HIkDA: A Novel Privacy Preserving Framework for Graph Data Publication
OPR-Miner: Order-Preserving Rule Mining for Time Series
Sticky Policies: A Survey
Constructing Quantitative Models Using Monotone Relationships
KNN Classification With One-Step Computation
Temporal Triggers in Active Databases
Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework
Incremental Recomputation of Active Relational Expressions
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss
Document Clustering in Correlation Similarity Measure Space
ViDE: A Vision-Based Approach for Deep Web Data Extraction
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data
SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training
Comprehensive Citation Index for Research Networks
Scheduling Algorithms for the Broadcast Delivery of Digital Products
Higher-Order Truss Decomposition in Graphs
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound
Incremental Maintenance of 2-Hop Labeling of Large Graphs
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration
KDX: An Indexer for Support Vector Machines
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs
Learning Bregman Distance Functions for Structural Learning to Rank
GAN-Based Temporal Association Rule Mining on Multivariate Time Series Data
Fast Algorithms for Semantic Association Search and Pattern Mining
MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation
Querying a Collection of Continuous Functions
TKDE 20(12) (December 2008) EIC Editorial: State of the Transactions
Disputant Relation-Based Classification for Contrasting Opposing Views of Contentious News Issues
Personalized News Recommendation Towards the Era of LLMs: Review and Prospect
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters
GoldFinger: Fast & Approximate Jaccard for Efficient KNN Graph Constructions
Clustering over Multiple Evolving Streams by Events and Correlations
Self-Supervised Learning: Generative or Contrastive
Harnessing Multi-Source Data about Public Sentiments and Activities for Informed Design
BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective
E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support
Mining User-Aware Rare Sequential Topic Patterns in Document Streams
A Machine Learning Approach for Identifying Disease-Treatment Relations in Short Texts
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
Exploiting Reuse for GPU Subgraph Enumeration
Markov-Driven Graph Convolutional Networks for Social Spammer Detection
Dynamic Personalized Recommendation on Sparse Data
A Sketch Framework for Approximate Data Stream Processing in Sliding Windows
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective
Deep Learning Approaches for Similarity Computation: A Survey
A Performance Comparison of Locking Methods with Limited Wait Depth
Top-k Spatio-Textual Similarity Join
Feature and Nuclear Norm Minimization for Matrix Completion
Alternative Interest Measures for Mining Associations in Databases
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning
Abstract-Driven Pattern Discovery in Databases
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud
Efficient Semantic-Based Content Search in P2P Network
Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions
ConcurDB: Concurrent Query Authentication for Outsourced Databases
LDGI: Location-Discriminative Geo-Indistinguishability for Location Privacy
Simultaneous Clustering and Optimization for Evolving Datasets
Discovering and Analyzing Contextual Behavioral Patterns From Event Logs
GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining
TimeRAF: Retrieval-Augmented Foundation Model for Zero-Shot Time Series Forecasting
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
L-ASCRA: A Linearithmic Time Approximate Spectral Clustering Algorithm Using Topologically-Preserved Representatives
Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability
Looking Back on the Past: Active Learning With Historical Evaluation Results
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning
Coupled Behavior Analysis with Applications
Deterministic Inference of Topic Models via Maximal Latent State Replication
Database Concurrency Control in Multilevel Secure Database Management Systems
Random Projection-Based Multiplicative Data Perturbation for Privacy Preserving Distributed Data Mining
CCGL: Contrastive Cascade Graph Learning
Storing, Tracking, and Querying Provenance in Linked Data
Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection
Identifying Anomalies While Preserving Privacy
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting
Document Clustering Using Locality Preserving Indexing
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph
IAD: Interaction-Aware Diffusion Framework in Social Networks
TELEX: Two-Level Learned Index for Rich Queries on Enclave-Based Blockchain Systems
TrustedDB: A Trusted Hardware-Based Database with Privacy and Data Confidentiality
A Survey of Data-Driven and Knowledge-Aware eXplainable AI
Graph Condensation: A Survey
Fast Top-K Path-Based Relevance Query on Massive Graphs
Symbolic Minimization on Relational Data
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees
Classification in Dynamic Data Streams With a Scarcity of Labels
The Role of Polymorphic Reuse Mechanisms in Schema Evolution in an Object-Oriented Database
Heuristic 3D Interactive Walks for Multilayer Network Embedding
Collaborative Learning for Extremely Low Bit Asymmetric Hashing
Development of Fully Convolutional Neural Networks Based on Discretization in Time Series Classification
UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings
Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project
Alternative Correctness Criteria for Concurrent Execution of Transactions in Multilevel Secure Databases
Fast Semi-Supervised Learning With Optimal Bipartite Graph
2-hop+ Sampling: Efficient and Effective Influence Estimation
CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances
Automatic Index Tuning: A Survey
Space Filling Approach for Distributed Processing of Top-k Dominating Queries
Maintaining Sliding Window Skylines on Data Streams
Reachable Distance Function for KNN Classification
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies
On Atomicity and Confidentiality Across Blockchains Under Failures
A Semantic Framework of the Multilevel Secure Relational Model
Robust Module-Based Data Management
A Neural Database for Answering Aggregate Queries on Incomplete Relational Data
Deep Learning on Graphs: A Survey
A Formalism and Method for Representing and Reasoning with Process Models Authored by Subject Matter Experts
Incomplete Multi-View Clustering With Joint Partition and Graph Learning
Duplicate Record Detection: A Survey
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships
Nearly Periodic Facts in Temporal Relational Databases
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning
Maximizing the Spread of Effective Information in Social Networks
A Variational Bayesian Framework for Cluster Analysis in a Complex Network
Correction to A Survey of Location Prediction on Twitter
Reasoning about Uniqueness Constraints in Object Relational Databases
Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory
Achieving Data Truthfulness and Privacy Preservation in Data Markets
Toward Lightweight End-to-End Semantic Learning of Real-Time Human Activity Recognition for Enabling Ambient Intelligence
A High-Performance Index for Real-Time Matrix Retrieval
Secure Interoperation in a Multidomain Environment Employing RBAC Policies
Dual Adversarial Variational Embedding for Robust Recommendation
Evaluation of Multiclass Novelty Detection Algorithms for Data Streams
Building a Large and Efficient Hybrid Peer-to-Peer Internet Caching System
Guest Editors' Introduction: Special Section on Peer-to-Peer-Based Data Management
Probabilistic Aspect Mining Model for Drug Reviews
A Rule-Based Trust Negotiation System
Exact and Efficient Unlearning for Large Language Model-Based Recommendation
Improving Automatic Parallel Training via Balanced Memory Workload Optimization
Towards Hard Few-Shot Relation Classification
Scalable Online Betweenness Centrality in Evolving Graphs
Quality of Service Guarantee for Temporal Consistency of Real-Time Transactions
GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems
Planning with Spatio-Temporal Search Control Knowledge