yusuke1997/dblp-id-title huggingface dataset:
The Performance of Protocols Based on Locks with Ordered Sharing
Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data
Energy Efficient Data Access in Mobile P2P Networks
Efficiently Estimating Statistics of Points of Interests on Maps
VEGAS: Visual influEnce GrAph Summarization on Citation Networks
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems
APP Relationship Calculation: An Iterative Process
EMOMA: Exact Match in One Memory Access
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks
Heuristic and Cost-Based Optimization for Diverse Provenance Tasks
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
Storage Efficient Replicated Databases
Optimization Techniques for Reactive Network Monitoring
A Universal Relation Data Model with Semantic Abstraction
A Structured Approach for Cooperative Query Answering
LARS*: An Efficient and Scalable Location-Aware Recommender System
Qualitative and Quantitative Temporal Constraints and Relational Databases: Theory, Architecture, and Applications
Scaling Hop-Based Reachability Indexing for Fast Graph Pattern Query Processing
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition
Learning a Propagable Graph for Semisupervised Learning: Classification and Regression
Using Memetic Algorithm for Instance Coreference Resolution
Efficient Routing of Subspace Skyline Queries over Highly Distributed Data
Optimization of Rule-Based Systems Using State Space Graphs
A Comment on "Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks"
Understanding WeChat User Preferences and "Wow" Diffusion
Ranked Query Processing in Uncertain Databases
Efficient Distance-Aware Influence Maximization in Geo-Social Networks
Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation
Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection
A Framework for Join Pattern Indexing in Intelligent Database Systems
Query Optimization and Execution Plan Generation in Object-Oriented Data Management Systems
MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain
Kernelized Fuzzy Rough Sets and Their Applications
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory
A Conceptual Clustering Algorithm for Database Schema Design
Multi-Modal Correction Network for Recommendation
Dynamic Ridesharing With Minimal Regret: Towards an Enhanced Engagement Among Three Stakeholders
Reinforced Imitative Graph Learning for Mobile User Profiling
Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks
A Computer-Assistance Learning System for Emotional Wording
Test Strategies for Cost-Sensitive Decision Trees
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network
Bounded Approximation: A New Criterion for Dimensionality Reduction Approximation in Similarity Search
Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data
Wildcard Search in Structured Peer-to-Peer Networks
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation
Towards an Effective XML Keyword Search
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation
A Temporal Access Control Mechanism for Database Systems
Steganographic Schemes for File System and B-Tree
Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation
Set Reconciliation via Counting Bloom Filters
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data
Robust Clustering Model Based on Attention Mechanism and Graph Convolutional Network
High-Capacity Framework for Reversible Data Hiding Using Asymmetric Numeral Systems
Creating Domain Specific Metadata for Scientific and Knowledge Bases
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation
Efficiently Supporting Multi-Level Serializability in Decentralized Database Systems
Inferring Origin-Destination Flows From Population Distribution
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders
Integrated Oversampling for Imbalanced Time Series Classification
Mining Cross-Level High Utility Itemsets in Unstable and Negative Profit Databases
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing
Guest Editorial Introduction to the Special Section on the 16th International Conference on Data Engineering
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality
Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data
A Wavelet Framework for Adapting Data Cube Views for OLAP
An Investigation of SMOTE Based Methods for Imbalanced Datasets With Data Complexity Analysis
Telecom Fraud Detection via Hawkes-Enhanced Sequence Model
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation
Label Propagated Nonnegative Matrix Factorization for Clustering
Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data
Information Source Tracking Method: Efficiency Issues
Debiased Pairwise Learning for Implicit Collaborative Filtering
Cross-Space Affinity Learning with Its Application to Movie Recommendation
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
$\sf {SIMkNN}$: A Scalable Method for in-MemorykNN Search over Moving Objects in Road Networks
Spatial-Temporal Interval Aware Individual Future Trajectory Prediction
Model-Based Synthetic Sampling for Imbalanced Data
Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-Clustering
A Rule-Based Object-Oriented OWL Reasoner
Second-Order Online Active Learning and Its Applications
A Generic Library of Problem Solving Methods for Scheduling Applications
A Strip-Splitting-Based Optimal Algorithm for Decomposing a Query Window into Maximal Quadtree Blocks
A Multilevel Composability Model for Semantic Web Services
Tensor-Based Big Data Management Scheme for Dimensionality Reduction Problem in Smart Grid Systems: SDN Perspective
Feature Selection with Unsupervised Consensus Guidance
A Browser for Large Knowledge Bases Based on a Hybrid Distributed/Local Connectionist Architecture
Software Metrics Knowledge and Databases for Project Management
Architecture of the ORION Next-Generation Database System
Efficient Pattern-Based Aggregation on Sequence Data
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection
Large-Scale Pattern Search Using Reduced-Space On-Disk Suffix Arrays
A Comprehensive Approach to 'Now' in Temporal Relational Databases: Semantics and Representation
Ontology Matching: State of the Art and Future Challenges
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention
Distance Information Improves Heterogeneous Graph Neural Networks
Model Inversion Attacks Against Graph Neural Networks
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
A Framework for Similarity Search of Time Series Cliques with Natural Relations
MTD-DS: An SLA-Aware Decision Support Benchmark for Multi-Tenant Parallel DBMSs
Subscriber Assignment for Wide-Area Content-Based Publish/Subscribe
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers
A Survey and Experimental Study on Neural Trajectory-User Linking Models
K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods
PEBL: Web Page Classification without Negative Examples
A Data-Driven Three-Stage Adaptive Pattern Mining Approach for Multi-Energy Loads
Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
Address Anomalies at Critical Crossroads for Graph Anomaly Detection
Correctness Criteria for Multilevel Secure Transactions
A New Approach for Semi-External Topological Sorting on Big Graphs
A General Framework of Time-Variant Bandwidth Allocation in the Data Broadcasting Environment
Efficient Processing of Metric Skyline Queries
Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis
Fast Convolutional Factorization Machine With Enhanced Robustness
A Dynamic Discretization Approach for Constructing Decision Trees with a Continuous Label
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding
Explainable Discrete Collaborative Filtering
General Quasi Overlap Functions and Fuzzy Neighborhood Systems-Based Fuzzy Rough Sets With Their Applications
Process Discovery on Deviant Traces and Other Stranger Things
Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure
Energy-Aware Set-Covering Approaches for Approximate Data Collection in Wireless Sensor Networks
Superseding Nearest Neighbor Search on Uncertain Spatial Databases
Interpretation of Structural Preservation in Low-Dimensional Embeddings
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem
Approximate Algorithms for Data-Driven Influence Limitation
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation
KEMB: A Keyword-Based XML Message Broker
A Framework for Product Data
Constructing the Dependency Structure of a Multiagent Probabilistic Network
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization
Fusing Complete Monotonic Decision Trees
Semisupervised Clustering with Metric Learning using Relative Comparisons
Evaluating Performance and Quality of Knowledge-Based Systems: Foundation and Methodology
A Link-Based Cluster Ensemble Approach for Categorical Data Clustering
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Maximizing Influence Query Over Indoor Trajectories
Structural Clustering of Multi-Layer Graphs
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
Editorial: TKDE Topic Area Revisions
Unsupervised Discriminative Projection for Feature Selection
Spatial Join Processing Using Corner Transformation
Knowledge Graph-Based Patent Clustering
Improving Collaborative Recommendation via User-Item Subgroups
Determining Mean First-Passage Time for Random Walks on Stochastic Uniform Growth Tree Networks
Mining High Utility Itemsets Using Prefix Trees and Utility Vectors
On Nearby-Fit Spatial Keyword Queries
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach
Distributed Evaluation of Network Directory Queries
Typicality-Based Collaborative Filtering Recommendation
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution
Computation of Stable Models and Its Integration with Logical Query Processing
Flexible Frameworks for Actionable Knowledge Discovery
Shape Sensitive Geometric Monitoring
Game Theoretical Adversarial Deep Learning With Variational Adversaries
Efficient Bitruss Decomposition on GPU
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks
Evaluating Recursive Queries in Distributed Databases
Automated Unsupervised Graph Representation Learning
Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition
Contact Tracing Over Uncertain Indoor Positioning Data
A Group Incremental Approach to Feature Selection Applying Rough Set Technique
Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering
Score-Based Generative Diffusion Models for Social Recommendations
Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting
Monitoring High-Dimensional Data for Failure Detection and Localization in Large-Scale Computing Systems
Valuing Training Data via Causal Inference for In-Context Learning
Domain-Specific Web Search with Keyword Spices
Anchor Guided Unsupervised Domain Adaptation
Scalable Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth TM
Latent Factor Modeling With Expert Network for Multi-Behavior Recommendation
Introducing New Advisory Board and Editorial Board Members
Using Directed Hypergraphs to Verity Rule-Based Expert Systems
Counterfactual Explainable Conversational Recommendation
Dynamic In-Page Logging for B⁺-tree Index
Breaking the Expression Bottleneck of Graph Neural Networks
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment
A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks
Using a Relational Database System to Support Explanation in a Knowledge-Based System
One-to-One Dependencies in Database Design
Joint Optimization of Index Freshness and Coverage in Real-Time Search Engines
Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework
Privacy Preserving Location Data Publishing: A Machine Learning Approach
Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings
A Survey on Generative Diffusion Models
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding
Editorial: TKDE Editorial Board Changes
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling
Balanced Clique Computation in Signed Networks: Concepts and Algorithms
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Optimizing Cyclic Join View Maintenance over Distributed Data Sources
ChronoGraph: Enabling Temporal Graph Traversals for Efficient Information Diffusion Analysis over Time
Online Learning From Evolving Feature Spaces With Deep Variational Models
A Distributed Learning Algorithm for Bayesian Inference Networks
PMSE: A Personalized Mobile Search Engine
Enhanced Clients for Data Stores and Cloud Services
A Basic Mathematical Framework for Conceptual Graphs
Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion
Text Clustering with Seeds Affinity Propagation
Neighbor-Anchoring Adversarial Graph Neural Networks
Efficient Disk-Based K-Means Clustering for Relational Databases
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval
Friedkin-Johnsen Model for Opinion Dynamics on Signed Graphs
MetaCAR: Cross-Domain Meta-Augmentation for Content-Aware Recommendation
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Locality Reconstruction Models for Book Representation
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding
A Survey of Multi-Dimensional Indexes: Past and Future Trends
Kullback-Leibler Divergence-Based Out-of-Distribution Detection With Flow-Based Generative Models
A Visual Query Language for Graphical Interaction with Schema-Intensive Databases
Proxy Cache Algorithms: Design, Implementation, and Performance
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation
Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases
Robust Multi-Label Learning with PRO Loss
Top-k Durable Graph Pattern Queries on Temporal Graphs
iJADE Web-Miner: An Intelligent Agent Framework for Internet Shopping
User-Centric Similarity Search
Combining Multiple Knowledge Bases
Holistic Measures for Evaluating Prediction Models in Smart Grids
All-Around Neural Collapse for Imbalanced Classification
Trip Planner Over Probabilistic Time-Dependent Road Networks
Efficient and Secure Skyline Queries Over Vertical Data Federation
ExamGAN and Twin-ExamGAN for Exam Script Generation
Discovering Frequent Closed Partial Orders from Strings
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
Incorporating Price into Recommendation With Graph Convolutional Networks
Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification
Member Behavior in Dynamic Online Communities: Role Affiliation Frequency Model
Efficient Mining of Intertransaction Association Rules
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks
Nested Monte Carlo EM Algorithm for Switching State-Space Models
Dense Subgraph Extraction with Application to Community Detection
A G-Net Model for Knowledge Representation and Reasoning
The Distributed Constraint Satisfaction Problem: Formalization and Algorithms
Similar Sports Play Retrieval With Deep Reinforcement Learning
An Air Index for Spatial Query Processing in Road Networks
WISDOM: Web Intrapage Informative Structure Mining Based on Document Object Model
Filtering Out Infrequent Behavior from Business Process Event Logs
A Scalable Approach to Integrating Heterogeneous Aggregate Views of Distributed Databases
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
Group Enclosing Queries
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks
Integrated Rule-Based Learning and Inference
Deterministic Column-Based Matrix Decomposition
Efficient Cache-Supported Path Planning on Roads
Performance Modeling of Distributed and Replicated Databases
Debiasing Training Data for Inductive Expert System Construction
k-Anonymization in the Presence of Publisher Preferences
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
An Improved Quantum Algorithm for Ridge Regression
Similar Subtree Search Using Extended Tree Inclusion
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis
Inferring Statistically Significant Hidden Markov Models
GI-Graph: A Generative Invariant Graph Learning Scheme Towards Out-of-Distribution Generalization
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph
Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data
Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering
MORE: An Object-Oriented Data Model with a Facility for Changing Object Structures
A Guide to the Basic Logic Dialect for Rule Interchange on the Web
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy
Representation of Qualitative User Preference by Quantitative Belief Functions
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach
Irregular Indeterminate Repeated Facts in Temporal Relational Databases
Discovering Activities to Recognize and Track in a Smart Environment
CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network
Mining Generalized Associations of Semantic Relations from Textual Web Content
Main-Memory Hash Joins on Modern Processor Architectures
Security of Tzeng's Time-Bound Key Assignment Scheme for Access Control in a Hierarchy
Extending the ODMG Object Model with Triggers
Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification
Data-Aware Adaptive Compression for Stream Processing
Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective
A Study on the Structure of Linear Recursion
Propagation-Based Temporal Network Summarization
Detecting Disjoint Communities in a Social Network Based on the Degrees of Association Between Edges and Influential Nodes
WFS + Branch and Bound = Stable Models
A Graph Theoretical Approach to Determine a Join Reducer Sequence in Distributed Query Processing
Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings
Condensed Representations of Association Rules in n-Ary Relations
Professor Ramamoorthy: A Personal Introduction
Bi-Level Graph Structure Learning for Next POI Recommendation
Multimodal Fusion for Video Search Reranking
High-Order Pattern Discovery from Discrete-Valued Data
Per-Flow Quantile Estimation Using M4 Framework
Adaptive and Incremental Processing for Distance Join Queries
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
PPSGen: Learning-Based Presentation Slides Generation for Academic Papers
Crowd-Sensing Enhanced Parking Patrol Using Sharing Bikes' Trajectories
Variational Counterfactual Prediction Under Runtime Domain Corruption
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains
Evaluating Wiki Collaborative Features in Ontology Authoring
Majority Voting and Pairing with Multiple Noisy Labeling
Stable Subgraph Isomorphism Search in Temporal Networks
Resolving Multi-Party Privacy Conflicts in Social Media
Lamps: Location-Aware Moving Top-k Pub/Sub
C-TREND: Temporal Cluster Graphs for Identifying and Visualizing Trends in Multiattribute Transactional Data
Optimal Lot Sizing Policies For Sequential Online Auctions
GFocus: User Focus-Based Graph Query Autocompletion
PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm
Matrix Completion via Schatten Capped $p$p Norm
NMTF-LTM: Towards an Alignment of Semantics for Lifelong Topic Modeling
A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search
Modeling Spatial Trajectories With Attribute Representation Learning
Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment
Location Aware Keyword Query Suggestion Based on Document Proximity
Conversational Recommendations With User Entity Focus and Multi-Granularity Latent Variable Enhancement
Recurrent Learning on PM 2.5 Prediction Based on Clustered Airbox Dataset
An Energy-Efficient and Access Latency Optimized Indexing Scheme for Wireless Data Broadcast
Privacy: A Machine Learning View
On the Influence Propagation of Web Videos
Role-Based Graph Embeddings
Dirichlet Process Mixture Model for Document Clustering with Feature Partition
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds
Fresh Data Retrieval With Speed-Adjustable Mobile Devices in Cyber-Physical Systems
User Satisfaction Prediction with Mouse Movement Information in Heterogeneous Search Environment
Privacy-Preserving Boolean Range Query With Temporal Access Control in Mobile Computing
Allocating Data and Operations to Nodes in Distributed Database Design
A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia
Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection
Generalization by Neural Networks
Mining Social Emotions from Affective Text
Global Ontology Entities Embeddings
MSC-DOLES: Multi-View Subspace Clustering in Diverse Orthogonal Latent Embedding Spaces
Enforcement of Purpose Based Access Control within Relational Database Management Systems
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique
Answering Skyline Queries Over Incomplete Data With Crowdsourcing
Pattern Based Sequence Classification
LEMON: Explainable Entity Matching