yusuke1997/dblp-id-title huggingface dataset:
Secure and High-Quality Watermarking Algorithms for Relational Database Based on Semantic
Editorial [2012 & 2013 Associate Editors]
Contrastive Multi-Modal Knowledge Graph Representation Learning
Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach
Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process
A Review on Dimensionality Reduction for Multi-Label Classification
Cluster-Based Boosting
Understanding Short Texts through Semantic Enrichment and Hashing
Topological Transformation Approaches to Database Query Processing
Neural Networks and Knowledge Engineering
Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation
Collaborative Multimedia Systems: Synthesis of Media Objects
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction
Uncertainty Management in Expert Systems Using Fuzzy Petri Nets
The Strong Partial Transitive-Closure Problem: Algorithms and Performance Evaluation
An Approach to Active Spatial Data Mining Based on Statistical Information
Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation
Online Dynamic Hybrid Broad Learning System for Real-Time Safety Assessment of Dynamic Systems
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain
A Human-Computer Interactive Method for Projected Clustering
Subgraph Matching With Effective Matching Order and Indexing
Survey: Functional Module Detection from Protein-Protein Interaction Networks
Introducing the New Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering
A Generic Framework for Top- k Pairs and Top- k Objects Queries over Sliding Windows
An Information Retrieval Approach for Approximate Queries
Biclustering of Expression Data with Evolutionary Computation
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Principal Composite Kernel Feature Analysis: Data-Dependent Kernel Approach
Effectiveness of Parallel Joins
Efficient Hidden Vector Encryption for Conjunctive Queries on Encrypted Data
Capturing the Spatiotemporal Evolution in Road Traffic Networks
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction
Efficient Multidimensional Fuzzy Search for Personal Information Management Systems
A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
Hierarchical Multi-View Graph Pooling With Structure Learning
TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets
Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment
Minimum Spanning Tree Partitioning Algorithm for Microaggregation
SketchNE: Embedding Billion-Scale Networks Accurately in One Hour
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph
Intervening Coupling Diffusion of Competitive Information in Online Social Networks
Supporting Movement Pattern Queries in User-Specified Scales
Discovering and Maintaining the Best $k$k in Core Decomposition
A Framework to Support Continuous Range Queries Over Multi-Attribute Trajectories
RARE: Robust Masked Graph Autoencoder
ENIGMA: A System That Learns Diagnostic Knowledge
Scalable Dynamic Graph Summarization
Making a Small World Smaller: Path Optimization in Networks
Tries for Approximate String Matching
A Methodology for Direct and Indirect Discrimination Prevention in Data Mining
Verification of Medical Guidelines Using Background Knowledge in Task Networks
Learning to Find Topic Experts in Twitter via Different Relations
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
AML: Efficient Approximate Membership Localization within a Web-Based Join Framework
Techniques and Systems for Image and Video Retrieval
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System
ADOME: An Advanced Object Modeling Environment
Fuzzy $k$kNN Entropy and its Anomaly Detection
The Use of Fuzzy Logic as Augmentation to Quantitative Analysis to Unleash Knowledge of Participants' Uncertainty When Filling a Survey: Case of Cloud Computing
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting
HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction
What Makes Patterns Interesting in Knowledge Discovery Systems
Efficiently Mining Frequent Trees in a Forest: Algorithms and Applications
Efficient Revalidation of XML Documents
Efficient Top-k Approximate Subtree Matching in Small Memory
Efficient Similarity Search over Future Stream Time Series
Latent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics
Real-Time City-Scale Taxi Ridesharing
Incentive Compatible Privacy-Preserving Data Analysis
HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering
SERIMI: Class-Based Matching for Instance Matching Across Heterogeneous Datasets
Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks
Decomposing Heterogeneous Inter-Entity Relationship Updates
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model
Knowledge Representation for Natural Language Understanding: The L LILOG Approach
Toward Web-Based Application Management Systems
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning
IoT Botnet Detection Based on Anomalies of Multiscale Time Series Dynamics
Overcoming Asymmetry in Entity Graphs
A Petri Net Model for Reasoning in the Presence of Inconsistency
Self-Propagation Graph Neural Network for Recommendation
Ranking Model Adaptation for Domain-Specific Search
Evaluation and Optimization of Query Programs in an Object-Oriented and Symbolic Information System
TEMPOS: A Platform for Developing Temporal Applications on Top of Object DBMS
Advances in Feedforward Neural Networks: Demystifying Knowledge Acquiring Black Boxes
Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining
Top-$k$k Vehicle Matching in Social Ridesharing: A Price-Aware Approach
Complexity Measures for Rule-Based Programs
QuickPoint: Efficiently Identifying Densest Sub-Graphs in Online Social Networks for Event Stream Dissemination
Contextual Operation for Recommender Systems
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding
A K-Main Routes Approach to Spatial Network Activity Summarization
Incomplete Multi-View Clustering With Reconstructed Views
Knowledge Accumulation and Resolution of Data Inconsistencies during the Integration of Microbial Information Sources
Generalization and Generalizability Measures
Automating Knowledge Acquisition: A Propositional Approach to Representing Expertise as an Alternative to Repertory Grid Technique
BORDER: Efficient Computation of Boundary Points
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning
Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval
Attribute Graph Neural Networks for Strict Cold Start Recommendation
Capturing the Semantics of Key Phrases Using Multiple Languages for Question Retrieval
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability
Job and Employee Embeddings: A Joint Deep Learning Approach
Ranking Instances by Maximizing the Area under ROC Curve
RFDG: Reinforcement Federated Domain Generalization
Event Popularity Prediction Using Influential Hashtags From Social Media
Efficient Management of Materialized Generalized Transitive Closure in Centralized and Parallel Environments
Straggler Identification in Round-Trip Data Streams via Newton's Identities and Invertible Bloom Filters
Trust-Aware Multi-Task Knowledge Graph for Recommendation
Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine
The Subgraph Similarity Problem
Deep Pairwise Hashing for Cold-Start Recommendation
SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection
Estimating and Enhancing Real-Time Data Service Delays: Control-Theoretic Approaches
Learning With Feature Evolvable Streams
CFOND: Consensus Factorization for Co-Clustering Networked Data
A Generalized Relational Model for Indefinite and Maybe Information
Static and Dynamic Delegation in the Role Graph Model
Shortest Path Computing in Relational DBMSs
PipeFilter: Parallelizable and Space-Efficient Filter for Approximate Membership Query
Target-Aware Holistic Influence Maximization in Spatial Social Networks
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction
Integrating Data Warehouses with Web Data: A Survey
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes
A Statistical Language Modeling Approach to Online Deception Detection
Order-2 Probabilistic Information Fusion on Random Permutation Set
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion
Epidemic Algorithms for Replicated Databases
Scalable Probabilistic Similarity Ranking in Uncertain Databases
A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models
Mining Ontology for Automatically Acquiring Web User Information Needs
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
Activity Organization for Friend-Making Optimization in Online Social Networks
Knowledge Reuse Enhancement with Motional Visual Representation
An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble
ACIRD: Intelligent Internet Document Organization and Retrieval
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Finite Satisfiability of Integrity Constraints in Object-Oriented Database Schemas
EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval
Linguistic Petri Nets Based on Cloud Model Theory for Knowledge Representation and Reasoning
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
Diffusion-Based Graph Generative Methods
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Introduction to the Special Section on the Fifth International Workshop on Multimedia Information Systems
Organization Self-Design of Distributed Production Systems
In Pursuit of Beauty: Aesthetic-Aware and Context-Adaptive Photo Selection in Crowdsensing
Supporting Pattern-Matching Queries over Trajectories on Road Networks
Hierarchical Deep Document Model
Nondeterministic, Nonmonotonic Logic Databases
Applying Semantic Knowledge to Real-Time Update of Access Control Policies
Neural Attention Frameworks for Explainable Recommendation
Efficient Duplication Free and Minimal Keyword Search in Graphs
Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets
Document-Level Relation Extraction With Low Entity Redundancy Feature Map
Managing Frequent Updates in R-Trees for Update-Intensive Applications
NeuralCD: A General Framework for Cognitive Diagnosis
Task-Aware Data Selectivity in Pervasive Edge Computing Environments
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation
Criss-Cross Hash Joins: Design and Analysis
Label Distribution Learning with Label Correlations on Local Samples
Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting
LLM-QL: A LLM-Enhanced Q-Learning Approach for Scheduling Multiple Parallel Drones
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
Deadline Assignment and Feedback Control for Differentiated Real-Time Data Services
Mining Statistically Significant Co-location and Segregation Patterns
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation
Multi-Query Optimization of Incrementally Evaluated Sliding-Window Aggregations
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations
DMGAN: Dynamic Multi-Hop Graph Attention Network for Traffic Forecasting
Sketching Data Distribution by Rotation
Effective Pattern Discovery for Text Mining
A Biclustering Method for Heterogeneous and Temporal Medical Data
Inference of Security Hazards from Event Composition Based on Incomplete or Uncertain Information
Collaborative Online Multitask Learning
Conflict Resolution Using Logic Programming
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams
AutoSR: Automatic Sequential Recommendation System Design
A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments
Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization
A Methodology for Learning Across Application Domains for Database Design Systems
Intensional Answers to Database Queries
Toward Tweet Entity Linking With Heterogeneous Information Networks
Response Time Analysis of OPS5 Production Systems
Maximizing Acceptance in Rejection-Aware Spatial Crowdsourcing
Strict and Flexible Rule-Based Graph Repairing
Multi-Task Learning With LLMs for Implicit Sentiment Analysis: Data-Level and Task-Level Automatic Weight Learning
An Expiration Age-Based Document Placement Scheme for Cooperative Web Caching
Efficient Similarity Search in Nonmetric Spaces with Local Constant Embedding
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
Principal Interconnections in Higher Order Hebbian-Type Associative Memories
Sequential Decision Models for Expert System Optimization
Deep Learning of Graphs with Ngram Convolutional Neural Networks
Faster Domain Adaptation Networks
Social Recommendation with Cross-Domain Transferable Knowledge
Explicit Message-Passing Heterogeneous Graph Neural Network
Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network
Classification and Retrieval of Knowledge on Parallel Marker Passing Architecture
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias
Network Representation Lightening From Hashing to Quantization
Progressive Approaches for Pareto Optimal Groups Computation
Efficient and Private Federated Trajectory Matching
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
On Social Network De-Anonymization With Communities: A Maximum A Posteriori Perspective
Dual-View Preference Learning for Adaptive Recommendation
Verifying the Correctness of Analytic Query Results
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering
Finding Localized Associations in Market Basket Data
Optimal Distribution of Signatures in Signature Hashing
JPernLite: Extensible Transaction Services for the WWW
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation
Finding Rule-Interpretable Non-Negative Data Representation
Learning Causal Representations Based on a GAE Embedded Autoencoder
Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data
NeC4.5: Neural Ensemble Based C4.5
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction
Penalized Flow Hypergraph Local Clustering
Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers
Efficient Graph Similarity Search Over Large Graph Databases
URBE: Web Service Retrieval Based on Similarity Evaluation
Venus: Scalable Real-Time Spatial Queries on Microblogs with Adaptive Load Shedding
Efficient Detection of Overlapping Communities Using Asymmetric Triangle Cuts
Authenticated Subgraph Matching on Large-Scale Graphs in Hybrid-Storage Blockchains
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction
BigSet: An Efficient Set Intersection Approach
A Performance Anomaly Detection and Analysis Framework for DBMS Development
Efficient Discovery of Functional Dependencies on Massive Data
XPath Query Relaxation through Rewriting Rules
Booster in High Dimensional Data Classification
A Multi-Objective Optimization Approach for Question Routing in Community Question Answering Services
A Unified Probabilistic Framework for Name Disambiguation in Digital Library
Query Processing Using Distance Oracles for Spatial Networks
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach
Polarity Consistency Checking for Domain Independent Sentiment Dictionaries
Extending BCDM to Cope with Proposals and Evaluations of Updates
Data Management for Machine Learning: A Survey
XINA: Explainable Instance Alignment Using Dominance Relationship
Joint Multi-View Hashing for Large-Scale Near-Duplicate Video Retrieval
RAPT: Rare Class Prediction in Absence of True Labels
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees
Binding Propagation Techniques for the Optimization of Bound Disjunctive Queries
Active Trace Clustering for Improved Process Discovery
Mining Asynchronous Periodic Patterns in Time Series Data
BMQ-Processor: A High-Performance Border-Crossing Event Detection Framework for Large-Scale Monitoring Applications
Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth
Quantum Circuit Learning With Parameterized Boson Sampling
AMDO: An Over-Sampling Technique for Multi-Class Imbalanced Problems
Unsupervised Rumor Detection Based on Propagation Tree VAE
MAgNET: Mobile Agents for Networked Electronic Trading
Result Merging Technique for Answering XPath Query over XSLT Transformed Data
Optimal Bucket Allocation Design of k-ary MKH Files for Partial Match Retrieval
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs
A Framework for Learning Comprehensible Theories in XML Document Classification
Guest Editor's Introduction: Research Surveys on Building Systems with Knowledge and Data Engineering Techniques
Multiscale Temporal Dynamic Learning for Time Series Classification
Large-Scale Location Prediction for Web Pages
Mining Frequent Itemsets without Support Threshold: With and without Item Constraints
Query Optimization in Multidatabase Systems Considering Schema Conflicts
Robust and Consistent Anchor Graph Learning for Multi-View Clustering
Self-Tuned Descriptive Document Clustering Using a Predictive Network
Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search
RAPS: A Rule-Based Language for Specifying Resource Allocation and Time-Tabling
Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses
Multi-View Clustering Based on Belief Propagation
A Framework of Fuzzy Diagnosis
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Accuracy-Constrained Privacy-Preserving Access Control Mechanismfor Relational Data
Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System
Efficiently Supporting Edit Distance Based String Similarity Search Using B $^+$-Trees
Semisupervised Query Expansion with Minimal Feedback
Static and Dynamic Structural Correlations in Graphs
Uninterpreted Schema Matching with Embedded Value Mapping under Opaque Column Names and Data Values
Rule-Guided Counterfactual Explainable Recommendation
An Evaluation of the Robustness of MTS for Imbalanced Data
Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing
CRATE: Privacy-Preserving Travel Time Estimation
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution
Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion
Finding Route Hotspots in Large Labeled Networks
Crowdsourcing Enumeration Queries: Estimators and Interfaces
Using Datacube Aggregates for Approximate Querying and Deviation Detection
Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning
Slicing: A New Approach for Privacy Preserving Data Publishing
Two-Step Strategy for Domain Adaptation Retrieval
Machine Unlearning Through Fine-Grained Model Parameters Perturbation
Efficient Graph Condensation via Gaussian Process
Early Active Database Efforts: A Capsule Summary
Elementary Subgraph Features for Link Prediction With Neural Networks
Supporting Ranked Boolean Similarity Queries in MARS
PriGuard: A Semantic Approach to Detect Privacy Violations in Online Social Networks
Volcano - An Extensible and Parallel Query Evaluation System
Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks
The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
Intra-Trajectory Error Balancing and Inter-Trajectory Feature Point Clustering for Trajectory Compression
Multiquality Data Replication in Multimedia Databases
Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval
Tensor Kalman Filter and Its Applications
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and Its Retrieval
A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods
Measuring Concentration of Distances - An Effective and Efficient Empirical Index
Data Provenance via Differential Auditing
A Form-Based Natural Language Front-End to a CIM Database
Sequence Labeling With Meta-Learning
PRIME: A Phishing Detection Framework With Quantitative and Fuzzy-Based Dual Validation
Focus Groups as a Knowledge Elicitation Technique: An Exploratory Survey
TACI: Taxonomy-Aware Catalog Integration
Domain-Driven Data Synopses for Dynamic Quantiles
Optimal Design of Multiple Hash Tables for Concurrency Control
Impact-Based Ranking of Scientific Publications: A Survey and Experimental Evaluation
A Scalable Query-Aware Enormous Database Generator for Database Evaluation
One-Step Multi-View Spectral Clustering
A Hybrid Estimator for Selectivity Estimation
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
Spatial Approximate String Search
HARP: A Practical Projected Clustering Algorithm
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
Enhancing Recommender Systems With a Stimulus-Evoked Curiosity Mechanism
Failure-Aware Cascaded Suppression in Wireless Sensor Networks
Deep Probabilistic Graph Matching
Label Enhancement by Maintaining Positive and Negative Label Relation
A Study of Concurrency Control in Real-Time, Active Database Systems
q-Gram Matching Using Tree Models
Hierarchical Error Detection in a Software Implemented Fault Tolerance (SIFT) Environment
Using Emerging Patterns to Construct Weighted Decision Trees
Citywide Bike Usage Prediction in a Bike-Sharing System
An Efficient Algorithm for Discovering Frequent Subgraphs
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors
On the Graph Traversal and Linear Binary-Chain Programs
Incremental Affinity Propagation Clustering Based on Message Passing
Lauca: A Workload Duplicator for Benchmarking Transactional Database Performance
Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure