yusuke1997/dblp-id-title huggingface dataset:
TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media
A Parallel Algorithm for Learning Bayesian Networks
Memory-Efficient Minimax Distance Measures
Interactive Construction of Classification Rules
Analysis of Variational Bayesian Matrix Factorization
Interconnected Neural Linear Contextual Bandits with UCB Exploration
Protein Complexes Detection Based on Deep Neural Network
Applications of Data Mining in E-Business Finance: Introduction
Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences
On the Efficiency of Association-Rule Mining Algorithms
Discretization of Continuous Attributes for Learning Classification Rules
Shape-Based Clustering for Time Series Data
Decisive Supervised Learning
Mining Maximal Co-located Event Sets
Jumping Emerging Patterns with Occurrence Count in Image Classification
Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization
A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I
A Novel Scalable Multi-class ROC for Effective Visualization and Computation
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation
Analysis of Cluster Migrations Using Self-Organizing Maps
Discovering Partial Periodic Patterns in Discrete Data Sequences
L0-norm Constrained Autoencoders for Unsupervised Outlier Detection
Extracting Keyphrases from Research Papers Using Word Embeddings
Mining Text Enriched Heterogeneous Citation Networks
A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification
I/O Scalable Bregman Co-clustering
Relation-Aware Label Smoothing for Self-KD
Enhancing AI Safety Through the Fusion of Low Rank Adapters
Semantic Explanations in Ensemble Learning
Web-Scale Personalized Real-Time Recommender System on Suumo
An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition
Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages
Latent Gaussian-Multinomial Generative Model for Annotated Data
Amortized Conditional Independence Testing
Topic-Selective Graph Network for Topic-Focused Summarization
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification
Dynamic Cluster Formation Using Level Set Methods
DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in LLMs
On Discrete Data Clustering
Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum
Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings
Aspect-Based Sentiment Analysis Through EDU-Level Attentions
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture
From Tweets to Token Sales: Assessing ICO Success Through Social Media Sentiments
On the Size of the Zero-Suppressed Binary Decision Diagram that Represents All the Subtrees in a Tree
Weakly Supervised Learning by a Confusion Matrix of Contexts
Mining Uncertain Sequential Patterns in Iterative MapReduce
Effect of Data Skewness in Parallel Mining of Association Rules
GTRACE2: Improving Performance Using Labeled Union Graphs
Geo-spatial Clustering with Non-spatial Attributes and Geographic Non-overlapping Constraint: A Penalized Spatial Distance Measure
A Novel Method for Community Detection in Complex Network Using New Representation for Communities
Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback
Fast and Light Boosting for Adaptive Mining of Data Streams
Inferring Metapopulation Based Disease Transmission Networks
AutoClues: Exploring Clustering Pipelines via AutoML and Diversification
Vine Copula-Based Asymmetry and Tail Dependence Modeling
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
A Simple Unlearning Framework for Online Learning Under Concept Drifts
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins
Analyzing Similarities of Datasets Using a Pattern Set Kernel
Graph Attention Networks with Positional Embeddings
Neighborhood Dependencies for Prediction
G-TREACLE: A New Grid-Based and Tree-Alike Pattern Clustering Technique for Large Databases
Online Volume Optimization for Notifications via Long Short-Term Value Modeling
Case-Sensitive Neural Machine Translation
On Data Clustering Analysis: Scalability, Constraints, and Validation
A Mixture Model for Expert Finding
VQTree: Vector Quantization for Decision Tree Induction
Gradable Adjective Embedding for Commonsense Knowledge
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning
Bribery in Rating Systems: A Game-Theoretic Perspective
Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions
Vertical Federated Learning for Higher-Order Factorization Machines
Personalized Recommendation Based on Behavior Sequence Similarity Measures
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I
A Minimal Causal Model Learner
LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models
Group Based Unsupervised Feature Selection
On Mining Rating Dependencies in Online Collaborative Rating Networks
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time Warping
Improving Anti-money Laundering via Fourier-Based Contrastive Learning
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams
Rule Extraction with Rough-Fuzzy Hybridization Method
A Large-Scale Repository of Deterministic Regular Expression Patterns and Its Applications
Topic Attentional Neural Network for Abstractive Document Summarization
On Privacy in Time Series Data Mining
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I
A Structure Preserving Flat Data Format Representation for Tree-Structured Data
Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation
Generalized Disjunction-Free Representation of Frequents Patterns with at Most k Negations
Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations
Classifying Text Streams in the Presence of Concept Drifts
Interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices
Searching Interesting Association Rules Based on Evolutionary Computation
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy
Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance
Inductive Databases and Knowledge Scouts
Meta-context Transformers for Domain-Specific Response Generation
Sequence Mining for Business Analytics: Building Project Taxonomies for Resource Demand Forecasting
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level
Unsupervised Disaggregation of Low Granularity Resource Consumption Time Series
Revisit Prediction by Deep Survival Analysis
Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing
Usage Based Tag Enhancement of Images
Mining Frequent Ordered Patterns
Forecasting Bitcoin Price with Graph Chainlets
STARS: Soft Multi-Task Learning for Activity Recognition from Multi-Modal Sensor Data
Semi-supervised Learning in Medical Image Database
Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching
Identifying Hesitant and Interested Customers for Targeted Social Marketing
Transfer-Learning Based Model for Reciprocal Recommendation
Meta-Classification of Multimedia Classifiers
Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples
Applications of Data Mining in E-Business and Finance
Petrel: Personalized Trend Line Estimation with Limited Labels from One Individual
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models
Extracting Topic Maps from Web Pages
Romanization of Thai Proper Names Based on Popularity of Usages
Patent Evaluation Based on Technological Trajectory Revealed in Relevant Prior Patents
A Region-Based Skin Color Detection Algorithm
An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-Method
Upgrading ILP Rules to First-Order Bayesian Networks
Fair Healthcare Rationing to Maximize Dynamic Utilities
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases
Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework
Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models
Multi-class Named Entity Recognition Via Bootstrapping with Dependency Tree-Based Patterns
PNE: Label Embedding Enhanced Network Embedding
Enhanced DB-Subdue: Supporting Subtle Aspects of Graph Mining Using a Relational Approach
Time Series Treatment Effects Analysis with Always-Missing Controls
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II
Active Learning for Hierarchical Text Classification
Self-adjust Local Connectivity Analysis for Spectral Clustering
Mining Relations from Unstructured Content
Detecting Citation Types Using Finite-State Machines
Hierarchical Gradient Smoothing for Probability Estimation Trees
A Top-Down Algorithm for Mining Web Access Patterns from Web Logs
Multi-view Regularized Gaussian Processes
Keystroke Biometric Recognition on Chinese Long Text Input
Treatment of Missing Values for Association Rules
Stochastic Local Clustering for Massive Graphs
LITA: An Efficient LLM-Assisted Iterative Topic Augmentation Framework
Bootstrap Based Pattern Selection for Support Vector Regression
Predicting Post-operative Visual Acuity for LASIK Surgeries
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection
Dual-Detector: An Unsupervised Learning Framework for Chinese Spelling Check
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems
An Improved Genetic Clustering Algorithm for Categorical Data
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton
Finding Frequent Structural Features among Words in Tree-Structured Documents
Accurate Subsequence Matching on Data Stream under Time Warping Distance
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data
A Sequential Dynamic Multi-class Model and Recursive Filtering by Variational Bayesian Methods
Forward Classification on Data Streams
Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM
Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding
Selective Materialization: An Efficient Method for Spatial Data Cube Construction
A Novel Hybrid Sequential Model for Review-Based Rating Prediction
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
A Server Side Solution for Detecting WebInject: A Machine Learning Approach
Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms
Parallel Time Series Modeling - A Case Study of In-Database Big Data Analytics
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
Generative Sentiment Transfer via Adaptive Masking
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI
Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution
Proactive Rumor Control: When Impression Counts
Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks
Leveraging Group-Level Signals for Robust Many-Domain Generalization
A Corpus-Based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques
Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features
Multi-label Active Learning with Error Correcting Output Codes
Sparse Kernel Learning and the Relevance Units Machine
Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction
A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Complementary Product Selection in E-Commerce
Mining Sequential Patterns from Probabilistic Databases
A Generalized Model for Multidimensional Intransitivity
Two Algorithms Under Stochastic Gradient Descent Framework for Recommender Systems
Robust Temporal Graph Clustering for Group Record Linkage
Averaged Boosting: A Noise-Robust Ensemble Method
DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning
Generating Balanced Classifier-Independent Training Samples from Unlabeled Data
Generation of Globally Relevant Continuous Features for Classification
Community Detection in Graph Streams by Pruning Zombie Nodes
Adaptive Context-Aware Graph Convolutional Network for Aspect-Based Sentiment Analysis
Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks
Hilltop Based Recommendation in Co-author Networks
Scalable Web Mining with Newistic
Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction
sigma - Algorithm : Structured Workflow Process Mining Through Amalgamating Temporal Workcases
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
Considering Correlation between Variables to Improve Spatiotemporal Forecasting
Communicative and Cooperative Learning for Multi-agent Indoor Navigation
Label Distribution Learning with Discriminative Instance Mapping
A Robust Seedless Algorithm for Correlation Clustering
Mining a Complete Set of Both Positive and Negative Association Rules from Large Databases
Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning
An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks
A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series
Sparse Adaptive Multi-hyperplane Machine
Importance of Individual Variables in the k -Means Algorithm
Incremental Constrained Clustering: A Decision Theoretic Approach
A Characterized Rating Recommend System
A Semantic-Based Dual Caching System for Nomadic Web Service
Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach
Human-Centered Explainable Psychiatric Disorder Diagnosis System Using Wearable ECG Monitors
Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference, PADKK 2000, Kyoto, Japan, April 18-20, 2000, Proceedings
TeamSkill: Modeling Team Chemistry in Online Multi-player Games
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps
Research on Dynamic Community Detection Method Based on Multi-dimensional Feature Information of Community Network
Extracting Diverse Patterns with Unbalanced Concept Hierarchy
Dynamic Category Profiling for Text Filtering and Classification
Scaling Up the Rule Generation of C4.5
A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data
On Application of Rough Data Mining Methods to Automatic Construction of Student Models
Modeling Adversarial Learning as Nested Stackelberg Games
Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
On the Performance of Oversampling Techniques for Class Imbalance Problems
Explicit and Implicit User Preferences in Online Dating
Representative Association Rules
Reciprocal and Heterogeneous Link Prediction in Social Networks
Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations
Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction
CoMAC: Conversational Agent for Multi-source Auxiliary Context with Sparse and Symmetric Latent Interactions
Incremental Learning of Support Vector Machines by Classifier Combining
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data
dK-Projection: Publishing Graph Joint Degree Distribution with Node Differential Privacy
Topic-Sensitive Influential Paper Discovery in Citation Network
Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering
Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids
Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings
A Tripartite Scorecard for the Pay/No pay Decision-Making in the Retail Banking Industry
Distributed Differentially Private Ranking Aggregation
Dynamic Whitelisting Using Locality Sensitive Hashing
Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web
Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers
On Sampling Type Distribution from Heterogeneous Social Networks
PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift
An Optimization Method of Fusing Multiple Decisions in Object Detection
Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams
A Study of Interestingness Measures for Associative Classification on Imbalanced Data
Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining
Latent Features Based Prediction on New Users' Tastes
Combining Clustering with Moving Sequential Pattern Mining: A Novel and Efficient Technique
Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance
Low-Rank Matrix Recovery with Discriminant Regularization
Variable Randomness in Decision Tree Ensembles
Representing Higher-Order Networks with Spectral Moments
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading
Online Rare Events Detection
Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images
AssistEM: Domain Instruction Tuning for Enhanced Entity Matching
Clustering Ensembles Based on Normalized Edges
Hierarchical Topic Model for Tensor Data and Extraction of Weekly and Daily Patterns from Activity Monitor Records
Vocabulary Filtering for Term Weighting in Archived Question Search
Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data
Spatio-Temporal Event Detection from Multiple Data Sources
Achieving Fair PCA Using Joint Eigenvalue Decomposition
Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus
Bridge Structural Knowledge and Pre-trained Language Models for Knowledge Graph Completion
Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking
Tag Completion and Refinement for Web Service via Low-Rank Matrix Completion
Sparse Stochastic Inference with Regularization
An Efficient Algorithm of Frequent Connected Subgraph Extraction
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph
TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games
EEG-MINE: Mining and Understanding Epilepsy Data
Variational Bayesian Approach for Long-Term Relevance Feedback
Social Group Based Video Recommendation Addressing the Cold-Start Problem
Hilbert Curve Based Molecular Sequence Analysis
Grammatical Dependency-Based Relations for Term Weighting in Text Classification
A Recent-Biased Dimension Reduction Technique for Time Series Data
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine
Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data
Temporal Relations Extraction in Mining Hepatitis Data
User-Defined Association Mining
Enhanced Topic Modeling with Multi-modal Representation Learning
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition
Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining
An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical Domain
Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions
Subgraph Mining on Directed and Weighted Graphs
Mining Association Rules for Label Ranking
Two-Phased Active Support Kernel Machine Learning
Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets
Retrieval Based on Language Model with Relative Entropy and Feedback
Course-Specific Markovian Models for Grade Prediction
ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification
Consistency Based Attribute Reduction
A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views
Accuracy Tuning on Combinatorial Neural Model
AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering
Finding Sporadic Rules Using Apriori-Inverse
Stratified Sampling for Extreme Multi-label Data
Classification with Quantification for Air Quality Monitoring
Modelling Decision Tables from Data
Mining Frequent Episodes for Relating Financial Events and Stock Trends
Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation
Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning
Foundation of Mining Class-Imbalanced Data
Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition
Two-View Online Learning
High-Order Co-clustering Text Data on Semantics-Based Representation Model
A Data-Aware Latent Factor Model for Web Service QoS Prediction
Citation Field Learning by RNN with Limited Training Data
Indirect Information Linkage for OSINT through Authorship Analysis of Aliases
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation
FeRoSA: A Faceted Recommendation System for Scientific Articles
MicroGRID: An Accurate and Efficient Real-Time Stream Data Clustering with Noise
A Confidence-Lift Support Specification for Interesting Associations Mining
An Efficient Method for Generating, Storing and Matching Features for Text Mining
Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis