yusuke1997/dblp-id-title huggingface dataset:
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks
P2P Reputation Management Using Distributed Identities and Decentralized Recommendation Chains
Discovering Frequent Event Patterns with Multiple Granularities in Time Sequences
Private Over-Threshold Aggregation Protocols over Distributed Datasets
WebGuard: A Web Filtering Engine Combining Textual, Structural, and Visual Content-Based Analysis
Efficient Key-Aggregate Cryptosystem With User Revocation for Selective Group Data Sharing in Cloud Storage
Merlin: Exploratory Analysis with Imprecise Queries
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Compressed Hierarchical Mining of Frequent Closed Patterns from Dense Data Sets
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation
A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee
Probase+: Inferring Missing Links in Conceptual Taxonomies
Co-Clustering via Information-Theoretic Markov Aggregation
Generalization Capabilities of Subtle Image Pattern Classifiers
On Sort-Merge Algorithm for Band Joins
Improved Lower Bounds for Graph Edit Distance
Knowledge Discovery in Deductive Databases with Large Deduction Results: the First Step
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide
Fast and Accurate SimRank Computation via Forward Local Push and its Parallelization
Structural Clustering for Bipartite Graphs
Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation
Genetics-Based Learning of New Heuristics: Rational Scheduling of Experiments and Generalization
Partial Clustering Ensemble
Towards Target Sequential Rules
Online Learning From Incomplete and Imbalanced Data Streams
Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering
Knowledge Graph Quality Management: A Comprehensive Survey
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality
A Distributed Integrated Feature Selection Scheme for Column Subset Selection
Achieving Secure and Dynamic Range Queries Over Encrypted Cloud Data
Mining Associations with the Collective Strength Approach
Centralized Routing for Bike-Sharing Systems
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning
Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain
Partial Indexing for Nonuniform Data Distributions in relational DBMS's
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
An Efficient Spectral Clustering Algorithm Based on Granular-Ball
Category-Based Infidelity Bounded Queries over Unstructured Data Streams
Pareto-Based Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
Centroid-Based Actionable 3D Subspace Clustering
Swarm Fuzzy Systems: Knowledge Acquisition in Fuzzy Systems and Its Applications in Grid Computing
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage
Towards Multi-Tenant Performance SLOs
Generating Characteristic Summaries for Entity Descriptions
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs
Distributed Strategies for Mining Outliers in Large Data Sets
SHAPES: A Novel Approach for Learning Search Heuristics in Under-Constrained Optimization Problems
A Novel Representation and Compression for Queries on Trajectories in Road Networks
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference
Clustering Ensemble via Diffusion on Adaptive Multiplex
Toward the Optimal Itinerary-Based KNN Query Processing in Mobile Sensor Networks
Encoding High-Cardinality String Categorical Variables
Adaptive Broadcasting for Similarity Queries in Wireless Content Delivery Systems
Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities
Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion
Querying Interval Data on Steroids
Outdoor Position Recovery From Heterogeneous Telco Cellular Data
Collective Decision for Open Set Recognition
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs
Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework
A Component Model and Infrastructure for a Fluid Web
PB + -Tree: PCM-Aware B + -Tree
The Past is Not a Foreign Country: Detecting Semantically Similar Terms across Time
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning
All-Distances Sketches, Revisited: HIP Estimators for Massive Graphs Analysis
An Efficient Algorithm for Matching Multiple Patterns
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering
Cloud-Native Databases: A Survey
Hypergraph Convolutional Networks for Course Recommendation in MOOCs
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning
Rights Protection for Discrete Numeric Streams
Atomic Fact Decomposition Helps Attributed Question Answering
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins
Similarity Transitivity Broken-Aware Multi-Modal Hashing
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs
Dynamic Connection-Based Social Group Recommendation
Handling Out-of-Distribution Data: A Survey
Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces
Scalable Evaluation of Trajectory Queries over Imprecise Location Data
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation
Sequential Multi-Class Labeling in Crowdsourcing
Streaming Algorithms for Estimating High Set Similarities in LogLog Space
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction
Auto-Encoding Neural Tucker Factorization
Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule-Based Model
Federated Graph Neural Networks With Equivalent Hypergraph Construction for Traffic Flow Prediction
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction
Storage Allocation Policies for Time-Dependent Multimedia Data
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning
Database Design Principles for Placement of Delay-Sensitive Data on Disks
Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning
Entity Linking Meets Deep Learning: Techniques and Solutions
Continuous Retrieval of Multimedia Data Using Parallelism
A Time-Bound Cryptographic Key Assignment Scheme for Access Control in a Hierarchy
Multiplex Graph Representation Learning Via Dual Correlation Reduction
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation
Design and Implementation of an Intrusion Response System for Relational Databases
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies
Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering
Causal-TSF: A Causal Intervention Approach to Mitigate Confounding Bias in Time Series Forecasting
Data Mining with Big Data
Top-k Socio-Spatial Co-Engaged Location Selection for Social Users
Applying Automatically Derived Gene-Groups to Automatically Predict and Refine Metabolic Pathways
Flexible Robust Programming in Distributed Object Systems
Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit Architecture
Correlated Matrix Factorization for Recommendation with Implicit Feedback
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining
Efficient Decomposition Selection for Multi-class Classification
Decision Trees for Mining Data Streams Based on the Gaussian Approximation
Real-Time Semiparametric Regression for Distributed Data Sets
Hardware-Enhanced Association Rule Mining with Hashing and Pipelining
SPOT Databases: Efficient Consistency Checking and Optimistic Selection in Probabilistic Spatial Databases
Effective Online Group Discovery in Trajectory Databases
Performance Comparison of the R * -Tree and the Quadtree for kNN and Distance Join Queries
GFilter: A General Gram Filter for String Similarity Search
Parallel Optimization of Large Join Queries with Set Operators and Aggregates in a Parallel Environment Supporting Pipeline
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency
A Qualitative Discriminant Approach for Generating Quantitative Belief Functions
GMC: Graph-Based Multi-View Clustering
Adaptive Graph Convolution Methods for Attributed Graph Clustering
AIDE: An Active Learning-Based Approach for Interactive Data Exploration
Semantic-Aware Blocking for Entity Resolution
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
Techniques for Update Handling in the Enhanced Client-Server DBMS
Fast Flexible Bipartite Graph Model for Co-Clustering
New Algorithm for Computing Cube on Very Large Compressed Data Sets
Skyline Processing on Distributed Vertical Decompositions
Effective Keyword Search Over Weighted Graphs
An Extended Petri Net Model for Normal Logic Programs
Presto Authorization: A Bitmap Indexing Scheme for High-Speed Access Control to XML Documents
High-Level Petri Net Model of Logic Program with Negation
A New Approach to the Design of Reinforcement Schemes for Learning Automata: Stochastic Estimator Learning Algorithms
Video Visual Relation Detection With Contextual Knowledge Embedding
A Fast Learned Key-Value Store for Concurrent and Distributed Systems
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction
A Query Model to Synthesize Answer Intervals from Indexed Video Units
Dynamic Grouping Strategies Based on a Conceptual Graph for Cooperative Learning
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm
Survey on Aspect-Level Sentiment Analysis
Answering Min-Max Resource-Constrained Shortest Path Queries Over Large Graphs
$\mathrm{W}^{2}$Parking: A Data-Driven Win-Win Contract Parking Sharing Mechanism Under Both Supply and Demand Uncertainties
Knowledge Graph Embedding Based on Multi-View Clustering Framework
A Flexible Payment Scheme and Its Role-Based Access Control
Variable Independence in Constraint Databases
Visualization Techniques for Mining Large Databases: A Comparison
Similarity Group-by Operators for Multi-Dimensional Relational Data
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval
NNexus: An Automatic Linker for Collaborative Web-Based Corpora
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix
Mining Web Graphs for Recommendations
GNN Cleaner: Label Cleaner for Graph Structured Data
Discovering and Interpreting Biased Concepts in Online Communities
A Similarity-Based Learning Algorithm Using Distance Transformation
Extracting Actionable Knowledge from Decision Trees
Self-Supervised Hypergraph Representation Learning for Sociological Analysis
MSTDB: A Hybrid Storage-Empowered Scalable Semantic Blockchain Database
Manifold Learning by Curved Cosine Mapping
Enumeration of Maximal Cliques from an Uncertain Graph
Set Restrictions for Semantic Groupings
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain
Inference in MLS Database Systems
On Both Cold-Start and Long-Tail Recommendation with Social Data
Event-Oriented Visual Question Answering: The E-VQA Dataset and Benchmark
Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection
ROAM: A Fundamental Routing Query on Road Networks with Efficiency
A Hybrid Replica Control Algorithm Combining Static and Dynamic Voting
Constrained Dimensionality Reduction Using a Mixed-Norm Penalty Function with Neural Networks
HmcNet: A General Approach for Hierarchical Multi-Label Classification
Synthesizing Human Trajectories Based on Variational Point Processes
Reducing the Loss of Information through Annealing Text Distortion
Colorful Star Motif Counting: Concepts, Algorithms and Applications
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
Precise Bayes Regression: Approaching Optimality, Using Multi-Dimensional Space Partitioning Trees
An Efficient Concept-Based Mining Model for Enhancing Text Clustering
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection
KBMS: A Knowledge-Based System for Modeling Software System Specifications
Reasoning in Inconsistent Knowledge Bases
Fast Indexing and Visualization of Metric Data Sets using Slim-Trees
Learning Classification Rules from Database in the Context of Knowledge Acquisition and Representation
SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation
Simultaneous Pattern and Data Clustering for Pattern Cluster Analysis
VChunkJoin: An Efficient Algorithm for Edit Similarity Joins
Evaluating Keyword Selection Methods for WEBSOM Text Archives
The Effect of Knowledge Representation Schemes on Maintainability of Knowledge-Based Systems
FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting
Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging
Mining Loosely Structured Motifs from Biological Data
The CoQUOS Approach to Continuous Queries in Unstructured Overlays
Influential Rule Search Scheme (IRSS)-A New Fuzzy Pattern Classifier
Incremental Maintenance of Schema-Restructuring Views in SchemaSQL
Cohesive Subgraph Discovery Over Uncertain Bipartite Graphs
Monochromatic and Bichromatic Reverse Top-k Queries
State-Space Optimization of ETL Workflows
Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction
On Modularity Clustering
Truss-Based Structural Diversity Search in Large Graphs
On Mining Instance-Centric Classification Rules
Incremental Maintenance of Online Summaries Over Multiple Streams
A Knowledge Representation Model for Multiuser Knowledge-Based Systems
Detecting, Assessing and Monitoring Relevant Topics in Virtual Information Environments
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning
Sparse Poisson Latent Block Model for Document Clustering
A Source-to-Source Transformation for Increasing Rule-Based System Parallelism
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder
Semantic Segment Extraction and Matching for Internet FAQ Retrieval
Toward Multidatabase Mining: Identifying Relevant Databases
Deciding on Correct Distributed Query Processing
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System
A Family of Directional Relation Models for Extended Objects
DataOps-4G: On Supporting Generalists in Data Quality Discovery
Generative Models for Item Adoptions Using Social Correlation
Clustering Data Streams: Theory and Practice
Optimal Route Queries with Arbitrary Order Constraints
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data
Navigational Accesses in a Temporal Object Model
Optimizing the Number of Clusters for Billion-Scale Quantization-Based Nearest Neighbor Search
Scalable Distributed Nonnegative Matrix Factorization with Block-Wise Updates
Online Outlier Detection in Open Feature Spaces
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction
Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection
Agglomerative Mean-Shift Clustering
A Multilayered Self-Organizing Artificial Neural Network for Invariant Pattern Recognition
GPSC: A Grid-Based Privacy-Reserving Framework for Online Spatial Crowdsourcing
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation
A Logical Framework for Querying and Repairing Inconsistent Databases
Optimizing Multi-Top-k Queries over Uncertain Data Streams
A General Framework for Implicit and Explicit Social Recommendation
Deep Multi-View Learning to Rank
The Disruptions of 5G on Data-Driven Technologies and Applications
Constraint-Based Query Evaluation in Deductive Databases
A Hybrid Representation of Vague Collections for Distributed Object Management Systems
Practical Efficient String Mining
Securing Multi-Source Domain Adaptation With Global and Domain-Wise Privacy Demands
Multiscale Weisfeiler-Leman Directed Graph Neural Networks for Prerequisite-Link Prediction
Incremental Graph Pattern Based Node Matching with Multiple Updates
Comments Mining With TF-IDF: The Inherent Bias and Its Removal
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks
Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction
Fast Label Enhancement for Label Distribution Learning
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems
Object and Combination Shedding Schemes for Adaptive Media Workflow Execution
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach
Practical High-Order Entropy-Compressed Text Self-Indexing
Self-Supervised Learning for Recommender Systems: A Survey
A Data/Knowledge Paradigm for the Modeling and Design of Operations Support Systems
Improved Word-Aligned Binary Compression for Text Indexing
Image Co-Segmentation via Locally Biased Discriminative Clustering
Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction
Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing
Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism
Adaptation Regularization: A General Framework for Transfer Learning
Logical Inference of Horn Clauses in Petri Net Models
Fast Low-Rank Subspace Segmentation
TBSAM: An Access Method for Efficient Processing of Statistical Queries
Providing Flexible Process Support to Project-Centered Learning
Scheduling Resources to Multiple Pipelines of One Query in a Main Memory Database Cluster
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation
Graph Cross-Correlated Network for Recommendation
Indexing and Retrieval for Genomic Databases
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders
Privacy-Preserving Outsourced Media Search
A Unified Framework for Metric Transfer Learning
Cross-Domain Recommendation via Progressive Structural Alignment
Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions
A Graph-Based Data Model and its Ramifications
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System
Using Evolutionary Algorithms for Defining the Sampling Policy of Complex N-Partite Networks
Evaluating Path Queries over Frequently Updated Route Collections
The Starburst Active Database Rule System
Production Systems with Negation as Failure
Aspect-Level Influence Discovery from Graphs
Efficient All Top-$(k)$ Computation - A Unified Solution for All Top-$(k)$, Reverse Top-$(k)$ and Top-$(m)$ Influential Queries
Temporal Conformance Analysis and Explanation of Clinical Guidelines Execution: An Answer Set Programming Approach
On Skyline Groups
EIC Editorial: 2007 TKDE Editorial Board Changes
Online and Non-Parametric Drift Detection Methods Based on Hoeffding's Bounds
Few-Shot Knowledge Graph Completion With Adaptive Negative Sampling Mechanism
Topic-Guided Conversational Recommender in Multiple Domains
QANet: Tensor Decomposition Approach for Query-Based Anomaly Detection in Heterogeneous Information Networks
Neural Text Segmentation and its Application to Sentiment Analysis
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery
Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics
EIGA: A Novel Genetic Algorithm Based on Edge Information for Community Detection in Weighted Social Networks
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
The Google Similarity Distance
On Efficient Single-Source Personalized PageRank Computation in Online Social Networks
Listwise Learning to Rank by Exploring Structure of Objects
Fast Online EM for Big Topic Modeling
Determining Attributes to Maximize Visibility of Objects
Text Compression for Dynamic Document Databases
Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations
LShape Partitioning: Parallel Skyline Query Processing Using $MapReduce$MapReduce
Shapley Value Approximation Based on Complementary Contribution
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning
Scalable Detection of Crowd Motion Patterns
Discrimination-Aware Projected Matrix Factorization
RobGC: Towards Robust Graph Condensation
The Integration of Rule Systems and Database Systems
The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
A Review for Weighted MinHash Algorithms
Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations
INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks
Naive Semantics to Support Automated Database Design
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning
Subontology Extraction Using Hyponym and Hypernym Closure on is-a Directed Acyclic Graphs
An Information Theoretic Approach to Rule Induction from Databases
Modeling Completeness versus Consistency Tradeoffs in Information Decision Contexts
Exploiting Single-Threaded Model in Multi-Core In-Memory Systems
Belief Rényi Divergence of Divergence and its Application in Time Series Classification
A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data
A Light Causal Feature Selection Approach to High-Dimensional Data
Efficient Maximal Balanced CliPlex Enumeration in Signed Graphs
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation
Extending Attribute Information for Small Data Set Classification
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory
Pruning Incremental Linear Model Trees with Approximate Lookahead
Dynamic Wavelet Synopses Management over Sliding Windows in Sensor Networks
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data
The Gamma Database Machine Project
K-Subspaces Quantization for Approximate Nearest Neighbor Search
VISUAL: Simulation of Visual Subgraph Query Formulation to Enable Automated Performance Benchmarking
Optimizing Resource Conflicts in Workflow Management Systems