yusuke1997/dblp-id-title huggingface dataset:
Enabling Scalable Geographic Service Sharing with Weighted Imprecise Voronoi Cells
Formal Analysis and Estimation of Chance in Datasets Based on Their Properties
Predicting Consumption Patterns with Repeated and Novel Events
Coping with Events in Temporal Relational Databases
Continual Queries for Internet Scale Event-Driven Information Delivery
Object-Oriented Query Languages: The Notion and the Issues
${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data
The Threshold Algorithm: From Middleware Systems to the Relational Engine
Efficient Phrase-Based Document Indexing for Web Document Clustering
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting
Efficient Algorithms for Computing Random Walk Centrality
A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data
On the Data Model and Access Method of Summary Data Management
HoppingSketch: More Accurate Temporal Membership Query and Frequency Query
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering
Prequery Discovery of Domain-Specific Query Forms: A Survey
Signature-Based Detection of Notable Transitions in Numeric Data Streams
Mining Sequential Patterns from Multidimensional Sequence Data
Refining Codes for Locality Sensitive Hashing
From One Comes Two: A Tensorized Graph Learning Framework for Clustering
Toward Predicting Active Participants in Tweet Streams: A Case Study on Two Civil Rights Events
A Robust Database Watermarking Scheme That Preserves Statistical Characteristics
Dynamic Opinion Maximization in Social Networks
Efficient Algorithm for Localized Support Vector Machine
RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction
Iterative Refinement for Multi-Source Visual Domain Adaptation
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising
LUNA: Efficient Backward-Private Dynamic Symmetric Searchable Encryption Scheme With Secure Deletion in Encrypted Database
Effective Navigation of Query Results Based on Concept Hierarchies
Malware Propagation in Large-Scale Networks
A Comparative Study for Unsupervised Network Representation Learning
Using Copulas in Data Mining Based on the Observational Calculus
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning
A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction
Schema Matching Using Interattribute Dependencies
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Association Discovery in Two-View Data
Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
Mefisto: A Functional Model for Statistical Entities
Synopsis: A Distributed Sketch over Voluminous Spatiotemporal Observational Streams
Online Learning With Incremental Feature Space and Bandit Feedback
GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction
Supporting Privacy Protection in Personalized Web Search
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification
Dictionary-Based Compression for Long Time-Series Similarity
Set Matching Measures for External Cluster Validity
A Parametric Model Approach for Structural Reconstruction of Scale-Free Networks
Decentralized and Incremental Discovery of Relaxed Functional Dependencies Using Bitwise Similarity
Automatic Context Pattern Generation for Entity Set Expansion
Genetic Evolution Processing of Data Structures for Image Classification
LH*G: A High-Availability Scalable Distributed Data Structure By Record Grouping
One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection
Joint Structural Learning to Rank with Deep Linear Feature Learning
View Adaptation in the Fragment-Based Approach
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves
Detecting Statistically Significant Communities
Structure-Preserving Subgraph Query Services
The World in a Nutshell: Concise Range Queries
Platform-Independent Robust Query Processing
Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems
Multi-View Support Vector Machines with the Consensus and Complementarity Information
Efficient Utilization of Missing Data in Cost-Sensitive Learning
Approximate Distributed K-Means Clustering over a Peer-to-Peer Network
Robust Low-Rank Kernel Subspace Clustering based on the Schatten p-norm and Correntropy
Mining Predictive k-CNF Expressions
Monitoring Online Tests through Data Visualization
A Comparative Study of Ontology Matching Systems via Inferential Statistics
Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks
Massively Distributed Time Series Indexing and Querying
A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments
Bloom Filter With Noisy Coding Framework for Multi-Set Membership Testing
Data Structure for Association Rule Mining: T-Trees and P-Trees
Index Organizations for Object-Oriented Database Systems
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer
LINQ: A Framework for Location-Aware Indexing and Query Processing
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
Focusing on Relevant Responses for Multi-Modal Rumor Detection
DREAM: Domain-Agnostic Reverse Engineering Attributes of Black-Box Model
IncGraph: An Improved Distributed Incremental Graph Computing Model and Framework Based on Spark GraphX
Efficient Bulk-Loading of Gridfiles
Learning Decomposed Representations for Treatment Effect Estimation
Locally Discriminative Coclustering
Efficient Top-k Matching for Publish/Subscribe Ride Hitching
On Computing Farthest Dominated Locations
Generating Actionable Interpretations from Ensembles of Decision Trees
Learning Balanced and Unbalanced Graphs via Low-Rank Coding
Scalable Consistency Maintenance in Content Distribution Networks Using Cooperative Leases
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm
Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction
Exploring Topical Lead-Lag across Corpora
A Fast Algorithm for Moderating Critical Nodes via Edge Removal
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News
Temporal and Real-Time Databases: A Survey
Dimensionality Reduction Based on Multilocal Linear Pattern Preservation
Efficient Recursive Aggregation and Negation in Deductive Databases
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding
Global Committability in Multidatabase Systems
On Co-Scheduling of Update and Control Transactions in Real-Time Sensing and Control Systems: Algorithms, Analysis, and Performance
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
Mining Web Informative Structures and Contents Based on Entropy Analysis
Probability Bounds for Goal Directed Queries in Bayesian Networks
Towards Adaptive Information Fusion in Graph Convolutional Networks
Fuzzy Orders-of-Magnitude-Based Link Analysis for Qualitative Alias Detection
DBMS Support for Nonmetric Measurement Systems
A Genetic Programming Approach to Record Deduplication
LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks
Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing
GAT: A Unified GPU-Accelerated Framework for Processing Batch Trajectory Queries
Embedding Disentanglement in Graph Convolutional Networks for Recommendation
A Generalized Associative Petri Net for Reasoning
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer
Inferring Directions of Undirected Social Ties
Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network
Size-Constrained Community Search on Large Networks: An Effective and Efficient Solution
CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data
PCMLogging: Optimizing Transaction Logging and Recovery Performance with PCM
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression
Knowledge Graph-Enhanced Sampling for Conversational Recommendation System
TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs
Query Analytics over Probabilistic Databases with Unmerged Duplicates
Labeling Dynamic XML Documents: An Order-Centric Approach
Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction
Tree++: Truncated Tree Based Graph Kernels
Towards Practical Oblivious Join Processing
Durable Subgraph Matching on Temporal Graphs
A Planning Aid: An Intelligent Modeling System for Planning Problems Based on Constraint Satisfaction
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks
Boolean Query Mapping Across Heterogeneous Information Sources
Personalized Long- and Short-term Preference Learning for Next POI Recommendation
Sem2Vec: Semantic Word Vectors with Bidirectional Constraint Propagations
Performance Evaluation of Rule Grouping on a Real-Time Expert System Architecture
Top-$k$ Community Similarity Search Over Large-Scale Road Networks
Unified Multi-Scenario Summarization Evaluation and Explanation
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation
Hierarchical Abstracting Graph Kernel
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity
Computing and Managing Cardinal Direction Relations
Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees
DiST: Efficient Distributed Spatio-Temporal Clustering With Automatic Parameter Optimization
Euclidean Distance is Not Your Swiss Army Knife
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering
Efficient Structured Learning for Personalized Diversification
Characterizing the MVDs That Hold in a Connected Subtree of a Join Tree: A Correction
Contrastive Graph Representations for Logical Formulas Embedding
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing
Skyline Index for Time Series Data
Approximately Unimodal Likelihood Models for Ordinal Regression
An Improved Algorithm for the Incremental Recomputation of Active Relational Expressions
Multi-Objective Cluster Ensemble based on Filter Refinement Scheme
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis
From Data Properties to Evidence
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval
Anomaly Rule Detection in Sequence Data
Noise Removal in Embedded Image With Bit Approximation
HAL: A Faster Match Algorithm
Partial Label Feature Selection: An Adaptive Approach
A Modeling Technique for the Performance Analysis of Web Searching Applications
A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction
Challenges in Data Crowdsourcing
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks
Learning-Based Sample Tuning for Approximate Query Processing in Interactive Data Exploration
Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation
Automatic Classification of Algorithm Citation Functions in Scientific Literature
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events
Modeling Submarket Effect for Real Estate Hedonic Valuation: A Probabilistic Approach
Efficient Algorithms for Influence Maximization in Hypergraphs by Stratified Sampling
A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test
System M: A Transaction Processing Testbed for Memory Resident Data
Reachability Queries With Label and Substructure Constraints on Knowledge Graphs
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation
Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models
Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation
Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources
Rewriting Rules To Permeate Complex Similarity and Fuzzy Queries within a Relational Database System
Classification With Trust: A Supervised Approach Based on Sequential Ellipsoidal Partitioning
THESUS, a Closer View on Web Content Management Enhanced with Link Semantics
ClusterTree: Integration of Cluster Representation and Nearest-Neighbor Search for Large Data Sets with High Dimensions
Addendum to "On Satisfiability, Equivalence, and Implication Problems Involving Conjunctive Queries in Database Systems"
Effective and Efficient Multi-View Imputation With Optimal Transport
A Framework for Learning in Search-Based Systems
Scalable Graph-Based Semi-Supervised Learning through Sparse Bayesian Model
Using Tickets to Enforce the Serializability of Multidatabase Transactions
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation
Databases with Alternative Information
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models
Data Management Challenges and Development for Military Information Systems
GM-PLL: Graph Matching Based Partial Label Learning
Experience with Rule Induction and k-Nearest Neighbor Methods for Interface Agents that Learn
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction
Cluster Analysis for Gene Expression Data: A Survey
Reconciling Point-Based and Interval-Based Semantics in Temporal Relational Databases: A Treatment of the Telic/Atelic Distinction
MAVE: Multilevel wrApper Verification systEm
Toward the Automatic Extraction of Policy Networks Using Web Links and Documents
Semi-Supervised Anomaly Detection Via Neural Process
Intent Propagation Contrastive Collaborative Filtering
DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
Equilibrium of Redundancy in Relational Model for Optimized Data Retrieval
Using Geodesic Space Density Gradients for Network Community Detection
Inferring Cognitive Wellness from Motor Patterns
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization
SEAM: A State-Entity-Activity-Model for a Well-Defined Workflow Development Methodology
Nearest Keyword Set Search in Multi-Dimensional Datasets
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach
Use of Contextaul Information for Feature Ranking and Discretization
Product Quantized Collaborative Filtering
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation
Efficient Model-Relational Data Management: Challenges and Opportunities
Signaling Potential Adverse Drug Reactions from Administrative Health Databases
Sample Pair Selection for Attribute Reduction with Rough Set
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective
Sentence Similarity Based on Semantic Nets and Corpus Statistics
Intent-Based Trust Evaluation
Deep Multi-Modal Hashing With Semantic Enhancement for Multi-Label Micro-Video Retrieval
Overcoming Data Sparsity in Group Recommendation
Grid Service Discovery with Rough Sets
Data-Driven Discovery of Quantitative Rules in Relational Databases
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query
Knowledge Representation Using Fuzzy Petri Nets
Data-Driven Variable Decomposition for Treatment Effect Estimation
Neighborhood Matters: Influence Maximization in Social Networks With Limited Access
I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering
Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy
SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks
Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data
Towards Query Pricing on Incomplete Data
Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation
Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement
Information Survivability for Evolvable and Adaptable Real-Time Command and Control Systems
A Fuzzy Logic Approach to Wrapping PDF Documents
An Efficient Evaluation of a Fuzzy Equi-Join Using Fuzzy Equality Indicators
Computing Structural Statistics by Keywords in Databases
Domain-Sensitive Recommendation with User-Item Subgroup Analysis
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm
Case Generation Using Rough Sets with Fuzzy Representation
Temporal Link Prediction With Motifs for Social Networks
Modeling Temporal Dependencies Within the Target for Long-Term Time Series Forecasting
An Efficient Indexing Method for Skyline Computations with Partially Ordered Domains
SCPM-CR: A Novel Method for Spatial Co-Location Pattern Mining With Coupling Relation Consideration
Stability of Machine Learning Predictive Features Under Limited Data
Predictive Ensemble Pruning by Expectation Propagation
Enhancing Factorization Machines With Generalized Metric Learning
Particle Competition and Cooperation in Networks for Semi-Supervised Learning
The Design and Implementation of Seeded Trees: An Efficient Method for Spatial Joins
Modeling the Probability of a Strikeout for a Batter/Pitcher Matchup
Graph Structure Fusion for Multiview Clustering
LIGHT: A Query-Efficient Yet Low-Maintenance Indexing Scheme over DHTs
ADMiRe: An Algebraic Data Mining Approach to System Performance Analysis
DiSC: Benchmarking Secure Chip DBMS
Domain-Driven Classification Based on Multiple Criteria and Multiple Constraint-Level Programming for Intelligent Credit Scoring
Relational Database Systems with Zero Information Loss
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences
Building a Multiple-Criteria Negotiation Support System
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks
A Segmentation and Graph-Based Video Sequence Matching Method for Video Copy Detection
A Data Envelopment Analysis-Based Approach for Data Preprocessing
Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis
Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting
Geographical Hidden Markov Tree
A Review on Multi-Label Learning Algorithms
Facilitating Effective User Navigation through Website Structure Improvement
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network
Bit-Oriented Sampling for Aggregation on Big Data
Dynamic Programming in Datalog with Aggregates
Case-Based Reasoning Systems: From Automation to Decision-Aiding and Simulation
A Highly Effective Partition Selection Policy for Object Database Garbage Collection
Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs
The Use of Integrated Organization and Information Systems Models in Building and Delivering Business Applications
Block-Oriented Compression Techniques for Large Statistical Databases
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
Conceptual Transaction Modeling
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets
Online Learning from Trapezoidal Data Streams
Genetic Search: Analysis Using Fitness Moments
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems
DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data
Fast Algorithms for Online Generation of Profile Association Rules
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks
On Power Law Growth of Social Networks
Popularity Prediction via Modeling Temporal Dependencies on Dynamic Evolution Process
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks
Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles
Clustering and Summarizing Protein-Protein Interaction Networks: A Survey
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Global Scheduling for Flexible Transactions in Heterogeneous Distributed Database Systems
Towards Systematic Contruction of Diagnostic Systems for Large Industrial Plants: Methods, Languages, and Tools
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Knowledge Conceptualization Tool
Low-Rank Tensor Learning for Incomplete Multiview Clustering
Linear Spiral Hashing for Expansible Files
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering
Efficient Data Mining for Path Traversal Patterns
Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-Memory OLAP
Efficient Datalog Rewriting for Query Answering in TGD Ontologies
Rule-Based Method for Entity Resolution
IMine: Index Support for Item Set Mining
Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection
A General Technique for Top-$k$ Geometric Intersection Query Problems
Task Trail: An Effective Segmentation of User Search Behavior
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation
Disentangled Modeling of Social Homophily and Influence for Social Recommendation
Mapping Datalog Program Execution to Networks of Procesors
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data
The Expressive Power of Temporal Relational Query Languages
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework
Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation
Modeling Product's Visual and Functional Characteristics for Recommender Systems
FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing
Affinity Regularized Non-Negative Matrix Factorization for Lifelong Topic Modeling
On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'
Index-Based Densest Clique Percolation Community Search in Networks
Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls
Effective Collaboration with Information Sharing in Virtual Universities
Fast Optimization of Spectral Embedding and Improved Spectral Rotation
An Object-Oriented Fuzzy Data Model for Similarity Detection in Image Databases
SeaCQ: Secure and Efficient Authenticated Conjunctive Query in Hybrid-Storage Blockchains
Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations
Learning Location-Guided Time-Series Shapelets