yusuke1997/dblp-id-title huggingface dataset:
Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data
Tree-Based Mining for Discovering Patterns of Human Interaction in Meetings
Valid-Time Indeterminacy in Temporal Relational Databases: Semantics and Representations
Continuous k-Means Monitoring over Moving Objects
An Efficient Algorithm to Compute a Quantum Probability Space
A Lightweight Learned Cardinality Estimation Model
Effectively Mining and Using Coverage and Overlap Statistics for Data Integration
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models
Using Graphics Processors for High Performance SimRank Computation
EPM: Evolutionary Perception Method for Anomaly Detection in Noisy Dynamic Graphs
Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation
On Efficient Large Maximal Biplex Discovery
Data Stream Clustering With Affinity Propagation
An Adaptive Clustering Algorithm Based on Local-Density Peaks for Imbalanced Data Without Parameters
SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder
A Hybrid Deep Network Framework for Android Malware Detection
Learning to Solve Task-Optimized Group Search for Social Internet of Things
CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph
An Extended Authorization Model for Relational Databases
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs
Event Detection on Microposts: A Comparison of Four Approaches
An Index for Set Intersection With Post-Filtering
Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing
On Group Nearest Group Query Processing
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
A Generalized Definition of Rough Approximations Based on Similarity
Efficient Reverse Top-k Boolean Spatial Keyword Queries on Road Networks
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing
Ranking and Suggesting Popular Items
Identifying User Relationship on WeChat Money-Gifting Network
veffChain: Enabling Freshness Authentication of Rich Queries Over Blockchain Databases
Ensemble Clustering With Attentional Representation
Modeling and Analysis of a Time-Stamp History Based Certification Protocol for Concurrency Control
Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
D$^{2}$2AE: Data-Decoupled Active Experts Promote One-Class Anomaly Discovery
Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling
C2Net: A Network-Efficient Approach to Collision Counting LSH Similarity Join
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity
Algorithms for Searching Massive Graphs
Temporal Network Motifs: Models, Limitations, Evaluation
Guest Editors' Introduction to the Special Section on the 26th International Conference on Data Engineering
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series
Efficient Structural Clustering on Probabilistic Graphs
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding
Access to Indexed Hierarchical Databases Using a Relational Query Language
Improving Data Analytics with Fast and Adaptive Regularization
Hashing Methods for Temporal Data
Sort versus Hash Revisited
Mitigating Hidden Confounding Effects for Causal Recommendation
Aggregate Nearest Neighbor Queries in Road Networks
Top-k Monitoring in Wireless Sensor Networks
A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
Towards Online Shortest Path Computation
A Selectivity Model for Fragmented Relations: Applied in Information Retrieval
DASCE: Long-Tailed Data Augmentation Based Sparse Class-Correlation Exploitation
ChOracle: A Unified Statistical Framework for Churn Prediction
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases
Discovering the k Representative Skyline Over a Sliding Window
NATERGM: A Model for Examining the Role of Nodal Attributes in Dynamic Social Media Networks
O(1)-Time Complexity for Fixed Sliding-Window Aggregation Over Out-of-Order Data Streams
Continual Learning for Smart City: A Survey
Testing Expert Systems in Process Control
HybMig: A Hybrid Approach to Dynamic Plan Migration for Continuous Queries
Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems
Utilization-Aware Trip Advisor in Bike-Sharing Systems Based on User Behavior Analysis
Dual Clustering: Integrating Data Clustering over Optimization and Constraint Domains
A Crowdsourcing Framework for Collecting Tabular Data
Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning
Load Shedding in Mobile Systems with MobiQual
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding
Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection
Efficient Global Optimization for Image Registration
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval
Mining Competitors from Large Unstructured Datasets
A New Robust Approach for Reversible Database Watermarking with Distortion Control
Hierarchical Latent Context Representation for Context-Aware Recommendations
Indexing Useful Structural Patterns for XML Query Processing
Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions
Automating Characterization Deployment in Distributed Data Stream Management Systems
Replica Placement Algorithms for Mobile Transaction Systems
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding
Data Leakage Detection
Large Graph Analysis in the GMine System
Publicly Verifiable Databases With All Efficient Updating Operations
Classifier Ensemble by Exploring Supplementary Ordering Information
Time Series Anomaly Detection With Adversarial Reconstruction Networks
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
Aging Bloom Filter with Two Active Buffers for Dynamic Sets
GOIO: Generative Oversampling Approach to Class Imbalance and Overlap of Tabular Data
Transferable Feature Selection for Unsupervised Domain Adaptation
A Requirements Driven Framework for Benchmarking Semantic Web Knowledge Base Systems
Learning Road Network Index Structure for Efficient Map Matching
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
Maintaining Strong Cache Consistency for the Domain Name System
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation
Counting Triangles in Large Graphs by Random Sampling
Exploring Temporal Information for Dynamic Network Embedding
Attributed Network Alignment: Problem Definitions and Fast Solutions
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification
BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search
Learning Entity Linking Features for Emerging Entities
Aggregates in the Temporal Query Language TQuel
Association Algebra: A Mathematical Foundation for Object-Oriented Databases
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation
Design of LDV: A Multilevel Secure Relational Database Management System
On the Substructure Countability of Graph Neural Networks
View Operations on Objects with Roles for a Statically Typed Database Language
Rule Extraction from Support Vector Machines: A Sequential Covering Approach
Clustering Based on Enhanced (α)-Expansion Move
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
Multi-View Scaling Support Vector Machines for Classification and Feature Selection
Efficient Regular Expression Matching Based on Positional Inverted Index
A Deep Dual Adversarial Network for Cross-Domain Recommendation
Mining Frequent Subgraph Patterns from Uncertain Graph Data
Discrete Matrix Factorization and Extension for Fast Item Recommendation
Identifying the Most Connected Vertices in Hidden Bipartite Graphs Using Group Testing
Finding Correlated Biclusters from Gene Expression Data
Complementary Aspect-Based Opinion Mining
Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters
Efficient Dissemination of Transaction-Consistent Data in Broadcast Environments
Continuous Skyline Queries for Moving Objects
General Cost Models for Evaluating Dimensionality Reduction in High-Dimensional Spaces
An Effective Optimization Method for Fuzzy $k$k-Means With Entropy Regularization
Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification
-Graph: A Graph Embedding for Interpretable Time Series Clustering
BiTDB: Constructing A Built-in TEE Secure Database for Embedded Systems
The Story of O2
XCDSearch: An XML Context-Driven Search Engine
Cell Suppression Methodology: The Importance of Suppressing Marginal Totals
Burstiness-Aware Web Search Analysis on Different Levels of Evidences
A Survey on Canonical Correlation Analysis
User Preference Learning for Online Social Recommendation
GraphMM: Graph-Based Vehicular Map Matching by Leveraging Trajectory and Road Correlations
Multi-View Attribute Weighted Naive Bayes
Multi-View Clustering With the Cooperation of Visible and Hidden Views
An Efficient Method for High Quality and Cohesive Topical Phrase Mining
Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples
Knowledge Processing in Control Systems
On the Customization of Components: A Rule-Based Approach
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification
Effective and Efficient: Large-Scale Dynamic City Express
Using Proximity Search to Estimate Authority Flow
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
An Efficient Algorithm to Compute Differences between Structured Documents
Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory
Incremental Recovery in Main Memory Database Systems
Search Result Diversity Evaluation Based on Intent Hierarchies
Distributed Anomaly Detection Using Minimum Volume Elliptical Principal Component Analysis
Guest Editors' Introduction: Special Section on Digital Libraries
On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks
Aggregate Estimation in Hidden Databases with Checkbox Interfaces
Knowledge-Based Software Architectures: Acquisition, Specification, and Verification
Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination
Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs
Guest Editors' Introduction: Special Section on Mining Large Uncertain and Probabilistic Databases
DeepNM: Incremental Graph Matching Based on Sinkhorn Similarity
Software Fault Prediction Using Quad Tree-Based K-Means Clustering Algorithm
Toward Efficient Multifeature Query Processing
A Unifying Approach to Iconic Indexing for 2-D and 3-D Scences
Conflict-Aware Weighted Bipartite B-Matching and Its Application to E-Commerce
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation
Recovery from Malicious Transactions
SUHDSA: Secure, Useful, and High-Performance Data Stream Anonymization
GCN for HIN via Implicit Utilization of Attention and Meta-Paths
A Dynamic Analysis-Powered Explanation Framework for Malware Detection
An Inverse-Free Block-SOR Method With Randomly Sampling for Temporal Multiplex PageRank Problems
On the Design and Analysis of the Privacy-Preserving SVM Classifier
Local Reasoning and Knowledge Compilation for Efficient Temporal Abduction
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
Database Meets Artificial Intelligence: A Survey
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data
Personalized Web Search For Improving Retrieval Effectiveness
Foundations of Secure Deductive Databases
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning
Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers
Low-Rank Linear Embedding for Robust Clustering
A Similarity Metric for Retrieval of Compressed Objects: Application for Mining Satellite Image Time Series
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
A Survey on Large-Scale Machine Learning
An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm
An Exact Closed-Form Formula for d-Dimensional Quadtree Decomposition of Arbitrary Hyperrectangles
Semantic Interpretation of Top-N Recommendations
Notes on Concurrent Engineering
A Hidden Topic-Based Framework toward Building Applications with Short Web Documents
Multi-Grained Semantics-Aware Graph Neural Networks
Modeling Relation Paths for Knowledge Graph Completion
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture
Beyond Similarity: Relation-Based Collaborative Filtering
TripleSurv: Triplet Time-Adaptive Coordinate Learning Approach for Survival Analysis
Developing Data Allocation Schemes by Incremental Mining of User Moving Patterns in a Mobile Computing System
Learning Similarity Matching in Multimedia Content-Based Retrieval
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection
Sparse Canonical Correlation Analysis With Preserved Sparsity
Adaptive Hyper-Box Granulation With Justifiable Granularity for Feature Selection
Visualization of Ontologies to Specify Semantic Descriptions of Services
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs
An Experimental Study of State-of-the-Art Entity Alignment Approaches
Numerical Data Collection Under Input-Discriminative Local Differential Privacy
An Efficient Certificateless Encryption for Secure Data Sharing in Public Clouds
Multi-Label Learning from Crowds
A New Architecture for Integration of CORBA and OODB
Diverse Relevance Feedback for Time Series with Autoencoder Based Summarizations
KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems
What you Always Wanted to Know About Datalog (And Never Dared to Ask)
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms
Reliability Measure Theory: A Nonmonotonic Semantics
Mining Statistically Significant Communities From Weighted Networks
DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy
Asynchronous Operations in Distributed Concurrency Control
ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication
Towards Why-Not Spatial Keyword Top-k Queries: A Direction-Aware Approach
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks
Two-Layer Space-Oriented Partitioning for Non-Point Data
Probabilistic Model and Optimal Reorganization of B+-Tree with Physical Clustering
COSINE: Compressive Network Embedding on Large-Scale Information Networks
Automatic Treatment Regimen Design
Bundle Recommendation and Generation With Graph Neural Networks
Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences With Features
The ROSE Data Manager: Using Object Technology to Support Interactive Engineering Applications
Guest Editors' Introduction Enabling Technology for Knowledge-Based Systems Development
Design Independent Query Interfaces
Fast Query Point Movement Techniques for Large CBIR Systems
A New Strategy of Cost-Free Learning in the Class Imbalance Problem
Simple Hybrid and Incremental Postpruning Techniques for Rule Induction
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning
Performance Analysis of Long-Lived Transaction Processing Systems with Rollbacks and Aborts
An Automated Framework for Incorporating News into Stock Trading Strategies
SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning
A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications
Evaluating Variable-Length Markov Chain Models for Analysis of User Web Navigation Sessions
Image Database Design Based on 9D-SPA Representation for Spatial Relations
Global Optimal Travel Planning for Massive Travel Queries in Road Networks
Ring Signature with Weak Linkability and Its Applications
Mining Temporal Patterns in Time Interval-Based Data
Concept Drift Detection Delay Index
Common Subexpression Processing in Multiple-Query Processing
Facilitating Time Critical Information Seeking in Social Media
Learning Users' Interests by Quality Classification in Market-Based Recommender Systems
Stable Prediction With Leveraging Seed Variable
G-Log: A Graph-Based Query Language
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data
Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints
Side-Effect Estimation: A Filtering Approach to the View Update Problem
Modified Fractal Signature (MFS): A New Approach to Document Analysis for Automatic Knowledge Acquisition
Efficient Online Summarization of Large-Scale Dynamic Networks
Approximately Counting Butterflies in Large Bipartite Graph Streams
Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense
A Lightweight Workbench for Database Benchmarking, Experimentation, and Implementation
Generalizing the Pigeonhole Principle for Similarity Search in Hamming Space
Composite Retrieval of Diverse and Complementary Bundles
Parallel Natural Language Processing on a Semantic Network Array Processor
Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing
A Personal Chronicle: Creating Better Information Systems, with Some Guiding Principles
Deductive Entity-Relationship Modeling
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling
Transaction Repair for Integrity Enforcement
Clustering for Approximate Similarity Search in High-Dimensional Spaces
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting
Cosdes: A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme
The Query Language Vizla
Incremental Maintenance of Materialized Object-Oriented Views in MultiView: Strategies and Performance Evaluation
A Hybrid E-Learning Recommendation Approach Based on Learners' Influence Propagation
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling
Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach
Constrained Skyline Query Processing against Distributed Data Sites
A New Algorithm for Inferring User Search Goals with Feedback Sessions
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation
Efficient Subhypergraph Matching Based on Hyperedge Features
Load Sharing in Distributed Multimedia-on-Demand Systems
GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation
Answer Again: Improving VQA With Cascaded-Answering Model
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data
Private-Set-Intersection-Based Medical Data Sharing Scheme With Integrity Auditing for IoMT Cloud Storage Systems
B-CAVE: A Robust Online Time Series Change Point Detection Algorithm Based on the Between-Class Average and Variance Evaluation Approach
A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces
Compact Estimator for Streaming Triangle Counting
Knowledge Intensive Software Engineering Tools
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
Efficient Algorithms for Personalized PageRank Computation: A Survey
Toward Balanced Denoising: Building a Structural and Textual Denoiser for Table Understanding
Density-Based Top-K Spatial Textual Clusters Retrieval
Negative Samples Analysis in Relevance Feedback
A Signature-Based Indexing Method for Efficient Content-Based Retrieval of Relative Temporal Patterns
Co-Occurrence-Based Diffusion for Expert Search on the Web
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation
Computing Maximized Effectiveness Distance for Recall-Based Metrics
Discovering Categorical Main and Interaction Effects Based on Association Rule Mining
Fast and Scalable Ridesharing Search
Multi-Label Learning with Global and Local Label Correlation
Efficient Scheduling of Page Access in Index-Based Join Processing
Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems
COMPLEX: An Object-Oriented Logic Programming System
Effect of Data Skewness and Workload Balance in Parallel Data Mining
S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training
Mobile Computing and Databases - A Survey
Integration and Efficient Lookup of Compressed XML Accessibility Maps
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning
Graph Vulnerability and Robustness: A Survey
A Knowledge-Based Fatal Incident Decision Model
Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables
Efficient Radius-Bounded Community Search in Geo-Social Networks
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks
Guest Editors' Introduction: Special Section on Intelligent Data Preparation
Parallelizing Itinerary-Based KNN Query Processing in Wireless Sensor Networks
Robust Detection of Link Communities With Summary Description in Social Networks
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation
A Multilayer Perceptron Solution to the Match Phase Problem in Rule-Based Artificial Intelligence Systems
Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
An Information-Preserving Watermarking Scheme for Right Protection of EMR Systems
A Novel Pipeline Approach for Efficient Big Data Broadcasting
Hierarchical Indexing Structure for Efficient Similarity Search in Video Retrieval
"What Do Your Friends Think?": Efficient Polling Methods for Networks Using Friendship Paradox
Meta-Reweighted Regularization for Unsupervised Domain Adaptation
SCHENO: Measuring Schema vs. Noise in Graphs