yusuke1997/dblp-id-title huggingface dataset:
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures
Resource Scheduling In A High-Performance Multimedia Server
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph
Interactive Correction and Recommendation for Computer Language Learning and Training
Security Evaluation of PatternClassifiers under Attack
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation
The Framework of Personalized Ranking on Poisson Factorization
Large Language Models are in-Context Molecule Learners
Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training
Heterogeneous Graph Neural Network With Multi-View Representation Learning
Ranking Users in Social Networks with Motif-Based PageRank
Objective vs. Subjective Measures of Error-Proneness for Rule-Based Programs
NEIWalk: Community Discovery in Dynamic Content-Based Networks
Triadic Closure Pattern Analysis and Prediction in Social Networks
Prolog/Rex - A Way to Extend Prolog for Better Knowledge Representation
CLASP: Integrating Term Subsumption Systems and Production Systems
Discriminative Link Prediction using Local, Community, and Global Signals
Learning to Rank for Uplift Modeling
Structured Graph Optimization for Unsupervised Feature Selection
Incremental Evaluation of Visible Nearest Neighbor Queries
Discrete Elastic Inner Vector Spaces with Application to Time Series and Sequence Mining
An Emprirical Study of Domain Knowledge and Its Benefits to Substructure Discovery
Clustering with Multiviewpoint-Based Similarity Measure
Structural Representation Learning for User Alignment Across Social Networks
Transactions and Updates in Deductive Databases
A Meta-Level Control Architecture for Production Systems
Managing Complex Documents Over the WWW: A Case Study for XML
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering
SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment
Dynamic Data Exchange in Distributed RDF Stores
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement
Community-Aware Social Recommendation: A Unified SCSVD Framework
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling
Automatic Enrichment of Semantic Relation Network and Its Application to Word Sense Disambiguation
Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams
Detecting Intrinsic Loops Underlying Data Manifold
Concept Drift-Based Runtime Reliability Anomaly Detection for Edge Services Adaptation
STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction
Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT
Algorithms for Storytelling
A Deductive Environment for Dealing with Objects and Nonmonotonic Reasoning
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization
Road-Aware Indexing for Trajectory Range Queries
SamWalker++: Recommendation With Informative Sampling Strategy
Introducing a Family of Linear Measures for Feature Selection in Text Categorization
Mobile Agents for World Wide Web Distributed Database Access
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs
Group Location Selection Queries over Uncertain Objects
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Latent Representation Guided Multi-View Clustering
Overlapping Decomposition for Gaussian Graphical Modeling
Frame-Based Ontology Population with PIKES
G-Tree: A New Data Structure for Organizing Multidimensional Data
Decompositional Rule Extraction from Support Vector Machines by Active Learning
A Graphical Query Language: VISUAL and Its Query Processing
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
Learning Deep Graph Representations via Convolutional Neural Networks
Comparison Queries Generation Using Mathematical Programming for Exploratory Data Analysis
Social Boosted Recommendation With Folded Bipartite Network Embedding
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation
CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments
Capturing Telic/Atelic Temporal Data Semantics: Generalizing Conventional Conceptual Models
A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Differential Privacy via Wavelet Transforms
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation
A New Complicated-Knowledge Representation Approach Based on Knowledge Meshes
A Deductive Object-Oriented Database System for Situated Inference in Law
Cross-Domain Graph Level Anomaly Detection
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
D-ToSS: A Distributed Throwaway Spatial Index Structure for Dynamic Location Data
Discovering Characterizations of the Behavior of Anomalous Subpopulations
Causal Inference for Knowledge Graph Based Recommendation
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction
A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models
XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts
A Semantics-Based Approach for Speech Annotation of Images
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies
Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency
Subspace Based Network Community Detection Using Sparse Linear Coding
A Hybrid Recommender System for Improving Automatic Playlist Continuation
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation
Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining
Robust Neural Relation Extraction via Multi-Granularity Noises Reduction
Optimizing Multi-Query Evaluation in Federated RDF Systems
Evaluating Public Anxiety for Topic-Based Communities in Social Networks
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level
Topic Mining over Asynchronous Text Sequences
CUBE: Causal Intervention-Based Counterfactual Explanation for Prediction Models
Vectorization of a Generalized Procedure for Theorem Proving in Propositional Logic on Vector Computers
Effective Reformulations for Task Allocation in Distributed Systems with a Large Number of Communicating Tasks
The Dynamic Bloom Filters
A Polynomial Algorithm for Optimal Univariate Microaggregation
Trajic: An Effective Compression System for Trajectory Data
A Survey on Transfer Learning
Prompt-Learning for Short Text Classification
Efficient Parameter Estimation for Information Retrieval Using Black-Box Optimization
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
Adaptive Lower-Level Driven Compaction to Optimize LSM-Tree Key-Value Stores
A Family of Rank Similarity Measures Based on Maximized Effectiveness Difference
Discovering Relaxed Functional Dependencies Based on Multi-Attribute Dominance
Extracting and Composing Robust Features With Broad Learning System
Algebraic Identities and Query Optimization in a Parametric Model for Relational Temporal Databases
Graph Neural Point Process for Temporal Interaction Prediction
DDD: A New Ensemble Approach for Dealing with Concept Drift
A Scalable Hybrid Approach for Extracting Head Components from Web Tables
Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
Knowledge Base Semantic Integration Using Crowdsourcing
Open Named Entity Modeling From Embedding Distribution
Graph Out-of-Distribution Generalization With Controllable Data Augmentation
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement
Data Mining for XML Query-Answering Support
SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling
Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device
Efficient Ranking on Entity Graphswith Personalized Relationships
Beyond Single-Page Web Search Results
Fast Nearest Neighbor Condensation for Large Data Sets Classification
Novel Online Methods for Time Series Segmentation
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning
Reasoning About Equations and Functional Dependencies on Complex Objects
Vertical Federated Learning: Concepts, Advances, and Challenges
QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks
A Correlation-Based Feature Weighting Filter for Naive Bayes
Steerable Self-Driving Data Visualization
A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs
Enriching One Taxonomy Using Another
Haery: A Hadoop Based Query System on Accumulative and High-Dimensional Data Model for Big Data
Land Use Classification With Point of Interests and Structural Patterns
Virtual Images for Similarity Retrieval in Image Databases
Coherence Approach to Logic Program Revision
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation
Efficient Approximate Query Processing in Peer-to-Peer Networks
SPEX: Streamed and Progressive Evaluation of XPath
Temporal Workload-Aware Replicated Partitioning for Social Networks
Privacy-Preserving Enhanced Collaborative Tagging
MRT: Tracing the Evolution of Scientific Publications
Efficient Sink-Reachability Analysis via Graph Reduction
FLEX: A Tolerant and Cooperative User Interface to Databases
Iteratively Re-Weighted Method for Sparsity-Inducing Norms
Localized Outlying and Boundary Data Detection in Sensor Networks
FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning
CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction
Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
Computational Complexity of Sorting and Joining Relations with Duplicates
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation
Efficient Processing of Group Planning Queries Over Spatial-Social Networks
A Framework for Personal Mobile Commerce Pattern Mining and Prediction
Keyword Search Over Probabilistic RDF Graphs
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment
Graph Diffusion-Based Representation Learning for Sequential Recommendation
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions
FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem
Range-Based Nearest Neighbor Queries with Complex-Shaped Obstacles
A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining
MHNF: Multi-Hop Heterogeneous Neighborhood Information Fusion Graph Representation Learning
HSDN: A High-Order Structural Semantic Disentangled Neural Network
Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection
Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning
High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation
A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks
Indexing Earth Mover's Distance over Network Metrics
Agree to Disagree: Personalized Temporal Embedding and Routing for Stock Forecast
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation
Maximal Biclique Subgraphs and Closed Pattern Pairs of the Adjacency Matrix: A One-to-One Correspondence and Mining Algorithms
Propagation Enhanced Neural Message Passing for Graph Representation Learning
Efficient Skyline Keyword-Based Tree Retrieval on Attributed Graphs
Special Section on the International Conference on Data Engineering 2015
Collaborative List-and-Pairwise Filtering From Implicit Feedback
Continuous Top-k Monitoring on Document Streams
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction
$D^{2}MTS$: Enabling Dependable Data Collection With Multiple Crowdsourcers Trust Sharing in Mobile Crowdsensing
Probabilistic Convex Hull Queries over Uncertain Data
Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash
Mining Constrained Gradients in Large Databases
Differentiable Clustering for Graph Attention
A Hybrid Model for the Prediction of the Linguistic Origin of Surnames
A Knowledge-Based Environment for Modeling and Simulating Software Engineering Processes
Editorial [State of the Transactions]
Preventing Inferences Through Data Dependencies on Sensitive Data
Scaling Stratified Stochastic Gradient Descent for Distributed Matrix Completion
Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction
Path Signatures: A Way to Speed Up Recursion in Relational Databases
Translating Relational Queries into Spreadsheets
Density-Based Clustering by Means of Bridge Point Identification
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data
An Information-Theoretic Foundation for the Measurement of Discrimination Information
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
Decentralized Privacy Preservation for Critical Connections in Graphs
SPIRE: Efficient Data Inference and Compression over RFID Streams
Web People Search via Connection Analysis
Fastest Path Query Answering using Time-Dependent Hop-Labeling in Road Network
A Novel Expandable Borderline Smote Over-Sampling Method for Class Imbalance Problem
Parsing Electronic Circuits in a Logic Grammar
Distributed In-Memory Processing of All k Nearest Neighbor Queries
On Combining Classifier Mass Functions for Text Categorization
Constraint Analysis: A Design Process for Specifying Operations on Objects
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
Information-Theoretic Outlier Detection for Large-Scale Categorical Data
Boolean Similarity Measures for Resource Discovery
Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts
On the Design and Applicability of Distance Functions in High-Dimensional Data Space
Dynamical Targeted Ensemble Learning for Streaming Data With Concept Drift
Solving the Imbalanced Problem by Metric Learning and Oversampling
CAIM Discretization Algorithm
The Implementation of Postgres
Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks
Reverse Approximate Nearest Neighbor Queries
An Effective Clustering Method over CF$^+$+ Tree Using Multiple Range Queries
Expectation Distance-Based Distributional Clustering for Noise-Robustness
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection
Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets
Video Content Management in Consumer Devices
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation
Parallel Mining of Association Rules
MPGS: An Interactive Tool for the Specification and Generation of Multimedia Presentations
Self-Correcting Clustering
Hierarchical Denoising for Robust Social Recommendation
Reliable Truth Discovery for Dynamic and Dependent Sources
Answering Pattern Queries Using Views
Exploring Flat Minima for Domain Generalization With Large Learning Rates
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection
WhiteWater: Distributed Processing of Fast Streams
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics
A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning
Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining
Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis
Similarity-Profiled Temporal Association Mining
The Ant System Applied to the Quadratic Assignment Problem
Distributed and Joint Evidential K-Nearest Neighbor Classification
InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification
Deep Learning for Spatio-Temporal Data Mining: A Survey
Efficient Algorithms for the Identification of Top-k Structural Hole Spanners in Large Social Networks
iBACon: imBalance-Aware Contrastive Learning for Time Series Forecasting
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation
A Recurrent Cooperative/Competitive Field for Segmentation of Magnetic Brain Images
Streaming Time Series Summarization Using User-Defined Amnesic Functions
Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study
Opinion Summarization via Submodular Information Measures
Learning by Discovering Problem Solving Heuristics Through Experience
Convergence of a Fast Hierarchical Alternating Least Squares Algorithm for Nonnegative Matrix Factorization
A Compact and Accurate Model for Classification
Fast Memory Efficient Local Outlier Detection in Data Streams
Tracking Temporal Community Strength in Dynamic Networks
Set Operations in Object-Based Data Models
Deep Feature-Based Text Clustering and its Explanation
Achieving Top-$K$K-fairness for Finding Global Top-$K$K Frequent Items
GDCluster: A General Decentralized Clustering Algorithm
Cross-Feature Interactive Tabular Data Modeling With Multiplex Graph Neural Networks
Spectral Adversarial Training for Robust Graph Neural Network
Heterogeneous Graph Representation Learning With Relation Awareness
Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
Optimizing Queries with Foreign Functions in a Distributed Environment
Row-Sparse Principal Component Analysis via Coordinate Descent Method
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction
Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache Sharing
Semantic Computing of Moods Based on Tags in Social Media of Music
Learning in an Ambient Intelligent World: Enabling Technologies and Practices
Accurate Modeling of Region Data
Efficient Evaluation of Probabilistic Advanced Spatial Queries on Existentially Uncertain Data
Guest Editors' Introduction: Self-Organizing Knowledge and Data Representation in Distributed Environment
Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference
Fine-Grained Urban Flow Inference With Incomplete Data
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
NEAR: Non-Supervised Explainability Architecture for Accurate Review-Based Collaborative Filtering
Seeking Quality of Web Service Composition in a Semantic Dimension
A Distance-Based Approach to Entity Reconciliation in Heterogeneous Databases
Using Rule Ontology in Repeated Rule Acquisition from Similar Web Sites
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model
Graph Matching Via the Lens of Supermodularity
In Search of a Memory-Efficient Framework for Online Cardinality Estimation
HyperISO: Efficiently Searching Subgraph Containment in Hypergraphs
An Efficient Approach to Finding Dense Temporal Subgraphs
Conic Programming for Multitask Learning
CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Multi-Task Image Clustering through Correlation Propagation
Optimization of Materialization Strategies for Derived Data Elements
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
Dynamic Dissimilarity Measure for Support-Based Clustering
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News
A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains
OLAP over Probabilistic Data Cubes II: Parallel Materialization and Extended Aggregates
Analyzing the Structure and Evolution of Massive Telecom Graphs
Moon: A Modality Conversion-Based Efficient Multivariate Time Series Anomaly Detection
Performance Analysis of Location-Dependent Cache Invalidation Schemes for Mobile Environments
Neural Named Entity Boundary Detection
Learning Region Similarities via Graph-Based Deep Metric Learning
The Impact of Task Abandonment in Crowdsourcing
Reliability Estimation During Prototyping of Knowledge-Based Systems
Addendum to "Current Approaches to Handling Imperfect Information in Data and Knowledge Bases"
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction
Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks
Compression and Aggregation for Logistic Regression Analysis in Data Cubes
Data Lakes: A Survey of Functions and Systems
Approximation Bounds for Minimum Information Loss Microaggregation
Answering Why-Not Questions on Top-K Queries
A High Performance Concurrency Protocol for Smart Contracts of Permissioned Blockchain
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
B2BGAN: A Backbone-to-Branches GAN-Based Oversampling Approach for Class-Imbalanced Tabular Data
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks
Discovering Data Set Nature through Algorithmic Clustering Based on String Compression
Dual Feature Interaction-Based Graph Convolutional Network
Toward an Agent-Based and Context-Oriented Approach for Web Services Composition
Classifying Time Series Using Local Descriptors with Hybrid Sampling
Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts
Abnormal Samples Oversampling for Anomaly Detection Based on Uniform Scale Strategy and Closed Area
Performance Analysis of Distributed Deadlock Detection Algorithms
Efficient Extended Boolean Retrieval
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring
A Query Formulation Language for the Data Web
Incremental Evaluation of Sliding-Window Queries over Data Streams
Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation
Query Merging: Improving Query Subscription Processing in a Multicast Environment
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations
A Combined Method for Maintaining Large Indices in Multiprocessor Multidisk Environments
Reusing Analogous Components
Multi-Level Graph Knowledge Contrastive Learning
K Nearest Neighbour Joins for Big Data on MapReduce: A Theoretical and Experimental Analysis
Robust Tensor Completion With Side Information
Spatio-Temporal Predicates
Scalable Algorithms for CQA Post Voting Prediction