yusuke1997/dblp-id-title huggingface dataset:
An Algorithm for Constrained Association Rule Mining in Semi-structured Data
GS4: Generating Synthetic Samples for Semi-Supervised Nearest Neighbor Classification
Data Mining - a Rough Set Perspective
Sparse Spectrum Gaussian Process for Bayesian Optimization
Automated Explanations of User-Expected Trends for Aggregate Queries
Next Point-of-Interest Recommendation Algorithm Based on Spatial-Temporal Knowledge Graph and User Dual-Level Preferences
Effective Multiclass Transfer for Hypothesis Transfer Learning
Optimized Clustering for Anomaly Intrusion Detection
Estimate on Expectation for Influence Maximization in Social Networks
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias
Self-supervised Graph Representation Learning with Variational Inference
Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval
Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network
DNA Sequence Clustering in High Error Rates via Hash Sketches Fuzzy Clustering for Efficient Stored Data Reconstruction
Trend-Based Citation Count Prediction for Research Articles
Automatic Extraction of Clusters from Hierarchical Clustering Representations
Efficient Mining Top-k Regular-Frequent Itemset Using Compressed Tidsets
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach
Are Graph Embeddings the Panacea? - An Empirical Survey from the Data Fitness Perspective
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation
Active Learning Based Similarity Filtering for Efficient and Effective Record Linkage
Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents
The CLARET Algorithm
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network
Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II
An Online Incremental Learning Vector Quantization
Efficiently Depth-First Minimal Pattern Mining
Sibling Distance for Rooted Labeled Trees
Multi-view Hypergraph Adaptive Contrastive Learning
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II
A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
CTROF: A Collaborative Tweet Ranking Framework for Online Personalized Recommendation
Towards Recommender System Using Particle Swarm Optimization Based Web Usage Clustering
What Is Frequent in a Single Graph?
Learning Multiclass Classifier Under Noisy Bandit Feedback
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers
Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets
Classification Bandits: Classification Using Expected Rewards as Imperfect Discriminators
Immune Centroids Over-Sampling Method for Multi-Class Classification
Predicting High Impact Academic Papers Using Citation Network Features
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation
An Author Topic Analysis of Tobacco Regulation Investigators
CBDT: A Concept Based Approach to Data Stream Mining
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets
Model the Dynamic Evolution of Facial Expression from Image Sequences
On Burst Detection and Prediction in Retweeting Sequence
Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization
Adaptive Seeding for Gaussian Mixture Models
Reliable Confidence Predictions Using Conformal Prediction
Large-Scale k-Means Clustering with User-Centric Privacy Preservation
Language-Guided Adaptive Vision Token Pruning for Efficient Multimodal Large Language Models
Feature Extraction and Classification System for Nonlinear and Online Data
Strong Baselines for Author Name Disambiguation with and Without Neural Networks
Sub2Vec: Feature Learning for Subgraphs
ACNet: Aggregated Channels Network for Automated Mitosis Detection
Robust Attribute and Structure Preserving Graph Embedding
Traffic Accident Detection with Spatiotemporal Impact Measurement
Scalable Mining of Frequent Tri-concepts from Folksonomies
STIFF: A Forecasting Framework For Spatio-Temporal Data
Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification
Nonlinear Data Analysis Using a New Hybrid Data Clustering Algorithm
Sentiment Classification Using Neural Networks with Sentiment Centroids
Data Mining as an Automated Service
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation
Ensemble Clustering of High Dimensional Data with FastMap Projection
Weight Based Live Migration of Virtual Machines
Decomposition Based SAT Encodings for Itemset Mining Problems
An Incremental Local Distribution Network for Unsupervised Learning
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation
Discriminative Methods for Multi-labeled Classification
Mining Functional Dependency Rule of Relational Database
Causal Discovery with Inverted Self-attention for Multivariate Time Series
Residual Vector Product Quantization for Approximate Nearest Neighbor Search
FIsViz: A Frequent Itemset Visualizer
The Future of Search: An Online Content Perspective
A Hybrid of SVM and SCAD with Group-Specific Tuning Parameters in Identification of Informative Genes and Biological Pathways
ProbitUCB: A Novel Method for Review Ranking
RV-SVM: An Efficient Method for Learning Ranking SVM
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network
A Short-Term Bookmarking System for Collecting User-Interest Data
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining
Design Recovery with Data Mining Techniques
CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction
Extracting Characteristic Structures among Words in Semistructured Documents
Deploying Mobile Agents in Distributed Data Mining
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
Hawkes Process with Stochastic Triggering Kernel
Mining Negative Rules Using GRD
Modeling Vietnamese Speech Prosody: A Step-by-Step Approach Towards an Expressive Speech Synthesis System
Providing Diversity in K-Nearest Neighbor Query Results
Link Prediction in Aligned Heterogeneous Networks
RIT: Enhancing Recommendation with Inferred Trust
Towards Business Interestingness in Actionable Knowledge Discovery
Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining?
WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights
Boosting via Approaching Optimal Margin Distribution
Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules
Emotional Reactions to Real-World Events in Social Networks
CNO-Former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI
Study of a Mixed Similarity Measure for Classification and Clustering
A Fast Algorithm for Density-Based Clustering in Large Database
Graph Neural Networks at a Fraction
Retrofitting Embeddings for Unsupervised User Identity Linkage
Mining Antagonistic Communities from Social Networks
CFMD: A Conflict-Free Multivariate Discretization Algorithm
A Multiclass Classification Method Based on Output Design
Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text
Transferable Interpolated Adversarial Attack with Random-Layer Mixup
Patterns Discovery Based on Time-Series Decomposition
Ranking Enhanced Supervised Contrastive Learning for Regression
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification
Anomaly Detection via Neighbourhood Contrast
Discriminative Representation Learning for Cross-Domain Sentiment Classification
Distributed Newton Methods for Regularized Logistic Regression
Aspect Level Sentiment Analysis with Aspect Attention
Info-Cluster Based Regional Influence Analysis in Social Networks
Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks
Mining Maximal Correlated Member Clusters in High Dimensional Database
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
MBPD: Motif-Based Period Detection
Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification
A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-Based Deep Learning Networks for Facial Palsy Detection
Randomizing SVM Against Adversarial Attacks Under Uncertainty
Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
Streaming Fair k-Center Clustering over Massive Dataset with Performance Guarantee
Cooperative Community Detection Algorithm Based on Random Walks
Context-Aware Location Annotation on Mobility Records Through User Grouping
Spatial Clustering with Obstacles Constraints Using Ant Colony and Particle Swarm Optimization
Prediction Rule Discovery Based on Dynamic Bias Selection
Deep Surrogate Model to Predict the Effectiveness of Substrates for Absorbing CO 2 from Air
A Random Indexing Approach for Web User Clustering and Web Prefetching
On the Application of Multi-class Classification in Physical Therapy Recommendation
Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations
Concept Drift Based Multi-dimensional Data Streams Sampling Method
Robust Outlier Detection Using Commute Time and Eigenspace Embedding
On the Large-Scale Transferability of Convolutional Neural Networks
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control
Automatic and Effective Mining of Coevolving Online Activities
Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem
lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap
Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation
Locating Self-Collection Points for Last-Mile Logistics Using Public Transport Data
Dual Similarity Regularization for Recommendation
Context-Aware Dual-Attention Network for Natural Language Inference
Maverick Matters: Client Contribution and Selection in Federated Learning
An Apriori Based Approach to Improve On-line Advertising Performance
A Data Driven Ensemble Classifier for Credit Scoring Analysis
Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation
Quantum Entanglement Inspired Correlation Learning for Classification
A Universal Non-parametric Approach for Improved Molecular Sequence Analysis
Scoring Method for Tumor Prediction from Microarray Data Using an Evolutionary Fuzzy Classifier
An Optimization Problem in Data Cube System Design
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow
Learning Treatment Regimens from Electronic Medical Records
Relationship between Diversity and Correlation in Multi-Classifier Systems
Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features
Deconfounding Representation Learning Based on User Interactions in Recommendation Systems
Class Confidence Weighted k NN Algorithms for Imbalanced Data Sets
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
MPool: Motif-Based Graph Pooling
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
NARGES: Prediction Model for Informed Routing in a Communications Network
Universal Representation for Code
High Performance Data Mining and Applications Overview
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting
Automatic Visualization Method for Visual Data Mining
A Novel Relative Space Based Gene Feature Extraction and Cancer Recognition
Syntactic Impact on Sentence Similarity Measure in Archive-Based QA System
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction
A Novel Algorithm for Frequent Itemsets Mining in Transactional Databases
Using Self-Consistent Naive-Bayes to Detect Masquerades
Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
Streaming Isolation Forest
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud
Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism
Influence Propagation: Patterns, Model and a Case Study
VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network
Towards More Efficient Multi-label Classification Using Dependent and Independent Dual Space Reduction
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection
Dynamic DropConnect: Enhancing Neural Network Robustness Through Adaptive Edge Dropping Strategies
Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach
Proposion and Analysis of a TCP Feature of P2P Traffic
Construction of Finite Automata for Intrusion Detection from System Call Sequences by Genetic Algorithms
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation
Entity Set Expansion with Meta Path in Knowledge Graph
Mining Market Basket Data Using Share Measures and Characterized Itemsets
Tracing Influential Nodes in a Social Network with Competing Information
Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines
Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers
Constrained-hLDA for Topic Discovery in Chinese Microblogs
Discovering Ordered Tree Patterns from XML Queries
DLDA/QR: A Robust Direct LDA Algorithm for Face Recognition and Its Theoretical Foundation
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7-10, 2024, Proceedings
A Survey on Efficient Graph Reachability Queries
A Cooperative Coevolution Algorithm of RBFNN for Classification
Improving One-Class Collaborative Filtering with Manifold Regularization by Data-driven Feature Representation
Efficient Mining of Niches and Set Routines
Probabilistic Techniques for Corporate Blog Mining
Evaluation of Techniques for Classifying Biological Sequences
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019, Revised Selected Papers
Advanced Computation of Sparse Precision Matrices for Big Data
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification
Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with Negation
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites
Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings
Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO
Towards Nonparametric Topological Layers in Neural Networks
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains
Combining Forecasts from Multiple Textual Data Sources
An Efficient Ranking-Centered Density-Based Document Clustering Method
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
Discovering High Utility Itemsets Based on the Artificial Bee Colony Algorithm
Saliency-Aware Time Series Anomaly Detection for Space Applications
Hybrid Sampling with Bagging for Class Imbalance Learning
Edge Role Discovery via Higher-Order Structures
Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts
Intervention-Driven Predictive Framework for Modeling Healthcare Data
Coupled Matrix Factorization Within Non-IID Context
Safe Offline Reinforcement Learning Through Hierarchical Policies
Learning to Diversify Expert Finding with Subtopics
A New Clustering Algorithm for Transaction Data via Caucus
Text Feature Extraction and Selection Based on Attention Mechanism
Syntax-Aware Representation for Aspect Term Extraction
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining
Network Data Mining: Discovering Patterns of Interaction Between Attributes
SSNE: Status Signed Network Embedding
oddball: Spotting Anomalies in Weighted Graphs
Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey
An Efficient Global Discretization Method
Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection
The Instance Easiness of Supervised Learning for Cluster Validity
COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System
A Novel Framework for Multi-hop Reasoning via Alternate Entity and Sequence Generation
Seamless Integration of Data Mining with DBMS and Applications
A Fast Clustering Process for Outliers and Remainder Clusters
MedConMA: A Confidence-Driven Multi-agent Framework for Medical Q&A
Big Data Generation: Application of Mobile Healthcare
Data Mining for Intrusion Detection: From Outliers to True Intrusions
CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach
A Graph Matching Method for Historical Census Household Linkage
Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling
Feature Selection for High Dimensional Face Image Using Self-organizing Maps
A Dynamic Feature Selection Based LDA Approach to Baseball Pitch Prediction
Enriching WordNet with Folksonomies
Shifting Hypergraphs by Probabilistic Voting
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
ε-Distance Weighted Support Vector Regression
Text Classification for DAG-Structured Categories
An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data
Defense Against Multi-target Multi-trigger Backdoor Attacks
Student Academic Performance Prediction Using Deep Multi-source Behavior Sequential Network
A Modified Relationship Based Clustering Framework for Density Based Clustering and Outlier Filtering on High Dimensional Datasets
BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue
Mining Association Rules from Structural Deltas of Historical XML Documents
Efficient Database Search via Tensor Distribution Bucketing
A Rule-Based Method for Customer Churn Prediction in Telecommunication Services
Accurate Recognition of the Current Activity in the Presence of Multiple Activities
Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation
Mining Interesting Itemsets in Graph Datasets
ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm
ISM: Item Selection for Marketing with Cross-Selling Considerations
Structure-Aware Reasoning for Knowledge Base Question Answering
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams
Multi-instance Embedding Learning Through High-level Instance Selection
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability
Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles
Using Classifier-Based Nominal Imputation to Improve Machine Learning
Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network
Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
Fusion-Extraction Network for Multimodal Sentiment Analysis
Dynamic Spuriosity Bias Harmonizer: Combatting Spurious Features for Domain Generalization
Efficient Time Series Data Classification and Compression in Distributed Monitoring
Treatment Effect Estimation Under Unknown Interference
Large Language Models for Logical Fallacy Detection
Location Recommendation Based on Periodicity of Human Activities and Location Categories
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility
Privacy-Preserving Linear Fisher Discriminant Analysis
Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information
Constraint-Based Mining of Formal Concepts in Transactional Data
Random Mask Perturbation Based Explainable Method of Graph Neural Networks
Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction
Efficient Nodes Representation Learning with Residual Feature Propagation
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks
The Causal Strength Bank: A New Benchmark for Causal Strength Classification
TwiTracker: Detecting and Extracting Events from Twitter for Entity Tracking
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction
Entity Network Prediction Using Multitype Topic Models
Modeling Social Information Learning among Taxi Drivers
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces
A Timing Analysis Model for Ontology Evolutions Based on Distributed Environments
Monte Carlo Based Incremental PageRank on Evolving Graphs
A New Efficient and Unbiased Approach for Clustering Quality Evaluation
Multi-View Visual Classification via a Mixed-Norm Regularizer
Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework
Mining Frequent Patterns from Hypergraph Databases
An Automated Approach for Generating Conceptual Riddles
Multi-information Source HIN for Medical Concept Embedding
Identifying Markov Blankets Using Lasso Estimation
Deep Interactions for Multimodal Molecular Property Prediction
Protection or Privacy? Data Mining and Personal Data
The Role of Hubness in Clustering High-Dimensional Data
Detecting Invalid Dictionary Entries for Biomedical Text Mining
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification
Unsupervised Text Style Transfer Through Differentiable Back Translation and Rewards
A Multi-player MAB Approach for Distributed Selection Problems
Discernibility System in Rough Sets
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification
Integrating Explainable AI with Multisource Time-Series Data for Apple Yield Prediction
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Document Clustering with an Augmented Nonnegative Matrix Factorization Model