yusuke1997/dblp-id-title huggingface dataset:
Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings
Adaptive Temporal Entity Resolution on Dynamic Databases
Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach
Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction
A Hybrid Command Sequence Model for Anomaly Detection
Improved Topology Extraction Using Discriminative Parameter Mining of Logs
A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series
Shared Deep Kernel Learning for Dimensionality Reduction
Dual Control Memory Augmented Neural Networks for Treatment Recommendations
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning
Visual Data Mining Methods for Kernel Smoothed Estimates of Cox Processes
A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features
An Associative Classifier for Uncertain Datasets
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction
A Novel Weighted Ensemble Technique for Time Series Forecasting
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR
Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches
Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System
Item Preference Parameters from Grouped Ranking Observations
Scalable Twitter User Clustering Approach Boosted by Personalized PageRank
A Temporal Topic Model for Noisy Mediums
Comparison of the Performance of Center-Based Clustering Algorithms
Owls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models
Frequent Pattern Mining in Attributed Trees
Using Random Walks for Mining Web Document Associations
A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information
Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval
Auto-Reg: A Dynamic AutoML Framework for Streaming Regression
A Family-Based Evolutional Approach for Kernel Tree Selection in SVMs
RW-GCN: Training Graph Convolution Networks with Biased Random Walk for Semi-supervised Classification
Constructing Personal Knowledge Base: Automatic Key-Phrase Extraction from Multiple-Domain Web Pages
A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder
Mining Representative Movement Patterns through Compression
Permutation Anonymization: Improving Anatomy for Privacy Preservation in Data Publication
Prescriptive Analytics Through Constrained Bayesian Optimization
Efficient Joint Clustering Algorithms in Optimization and Geography Domains
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification
Query Prediction by Currently-Browsed Web Pages and Its Applications
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction
A Constrained Clustering Approach to Duplicate Detection Among Relational Data
Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs
Adaptive and Discriminative Contrastive Learning for Sequential Recommendation
Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems
CommonKADS Methodology for Developing Power Grid Switching Orders Systems
Gaussian Processes Autoencoder for Dimensionality Reduction
Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation
Order-Aware Graph Neural Network for Sequential Recommendation
Aggregated Subset Mining
Micro-blog Post Topic Drift Detection Based on LDA Model
Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion
A Context-Aware Evaluation Method of Driving Behavior
Term Committee Based Event Identification within News Topics
Cost-Sensitive Feature Selection on Heterogeneous Data
An Information Retrieval Model Based on Semantics
Modeling Information Sharing Behavior on Q&A Forums
Multiplex Topic Models
Discovery of Ordinal Association Rules
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
Enhancing Interpretability for Computational Personality Analysis in Education
A Comprehensive Survey on Bias and Fairness in Large Language Models
Deep Cascade of Extra Trees
MISNN: Multiple Imputation via Semi-parametric Neural Networks
Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition
AREM: A Novel Associative Regression Model Based on EM Algorithm
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers
Topic Analysis of Web User Behavior Using LDA Model on Proxy Logs
Diversify or Not: Dynamic Diversification for Personalized Recommendation
Investigating the Limits of Graph Foundation Model in Real-World Travel Recommendation Systems
TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams
Cruising or Waiting: A Shared Recommender System for Taxi Drivers
Uncovering the Latent Structures of Crowd Labeling
Rank Matrix Factorisation
Collective Geographical Embedding for Geolocating Social Network Users
Research and Application of Mapping Relationship Based on Learning Attention Mechanism
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification
FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction
Research on SaaS Resource Management Method Oriented to Periodic User Behavior
Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach
An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA
Further Applications of a Particle Visualization Framework
Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification
DRC-BK: Mining Classification Rules with Help of SVM
MalSpot: Multi2 Malicious Network Behavior Patterns Analysis
Modeling Users' Multifaceted Interest Correlation for Social Recommendation
An IFS-Based Similarity Measure to Index Electroencephalograms
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction
Estimation of Class Membership Probabilities in the Document Classification
Adversarial Active Learning in the Presence of Weak and Malicious Oracles
Topic Modeling over Short Texts by Incorporating Word Embeddings
Using Scan-Statistical Correlations for Network Change Analysis
Mining Term Association Rules for Heuristic Query Construction
MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA
Predicting Private Company Exits Using Qualitative Data
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection
SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction
Discovery of Association Rules over Ordinal Data: A New and Faster Algorithm and Its Application to Basket Analysis
Federated Learning for Smart and Sustainable Aquaponics: A Decentralized AI Approach for Urban Resilience
FR 3 LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series
SubRank: Subgraph Embeddings via a Subgraph Proximity Measure
Computing Hierarchical Summary of the Data Streams
Co-clustering from Tensor Data
Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules
Domain-Level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification
How to Backdoor Consistency Models?
Integration of Distributed Biological Data Using Modified K-Means Algorithm
Bogus Data Filtering in Sensor Networks
The Data-Mining and the Technology af Agents to Fight the Illicit Electronic Messages
Ordered Estimation of Missing Values
HashAlign: Hash-Based Alignment of Multiple Graphs
Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification
Unsupervised Blocking Key Selection for Real-Time Entity Resolution
Learning Pretopological Spaces to Extract Ego-Centered Communities
Leveraging Emotional Consistency for Semi-supervised Sentiment Classification
A Fast Secure Dot Product Protocol with Application to Privacy Preserving Association Rule Mining
Quality Control for Crowdsourced POI Collection
Ranking Individuals and Groups by Influence Propagation
A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification
Mining POI Alias from Microblog Conversations
CANTER: A Novel Causal Model for Tourism Demand Forecasting
Voting Fuzzy k-NN to Predict Protein Subcellular Localization from Normalized Amino Acid Pair Compositions
On Calibration of Nested Dichotomies
Predicting Protein Structural Class from Closed Protein Sequences
Characteristic Rule Induction Algorithm for Data Mining
Co-occurring Cluster Mining for Damage Patterns Analysis of a Fuel Cell
Assessing Centrality Without Knowing Connections
NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric
Detecting Sequentially Novel Classes with Stable Generalization Ability
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures
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 V
Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning
The Use of Large Language Models to Cluster Genomic Data
Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree
Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation
Mining Non-coincidental Rules without a User Defined Support Threshold
A Machine Learning Application for Human Resource Data Mining Problem
Local Subsequence-Based Distribution for Time Series Clustering
ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases
A Creditable Subspace Labeling Method Based on D-S Evidence Theory
Usage of Mobile Phones for Personalized Healthcare Solutions
An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
Construct a Secure CNN Against Gradient Inversion Attack
Information Diffusion Pattern Mining over Online Social Media
Privacy Protection Scheme of RFID Using Random Number
CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection
Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data
Inducing Controlled Error over Variable Length Ranked Lists
Multi-channel Orthogonal Decomposition Attention Network for Sequential Recommendation
Seamlessly Integrating Effective Links with Attributes for Networked Data Classification
Fairness for Robust Learning to Rank
Active Distance-Based Clustering Using K-Medoids
Sparse Logistic Regression with Logical Features
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
T 2 Transformer for Image Captioning
On Dark Knowledge for Distilling Generators
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
Efficient Privacy-Preserving Link Discovery
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Mining Association Rules in Long Sequences
Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
Hiding Emerging Patterns with Local Recoding Generalization
Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning
Topic Modeling Using Collapsed Typed Dependency Relations
Applying Association Rules for Interesting Recommendations Using Rule Templates
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network
A Framework for Modeling Positive Class Expansion with Single Snapshot
Concept Approximation in Concept Lattice
Mining Web Data for Epidemiological Surveillance
Wavelet Transform in Similarity Paradigm
Fast Manifold Landmarking Using Locality-Sensitive Hashing
Self-paced Robust Deep Face Recognition with Label Noise
A Fast Algorithm for Simultaneous Sparse Approximation
A Neural Network Model for Semi-supervised Review Aspect Identification
PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation
Building Decision Trees for the Multi-class Imbalance Problem
Human Action Recognition in Video Under Clutter and Moving Background
Hydrological Process Surrogate Modelling and Simulation with Neural Networks
Cluster Analysis in Image Repositories
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
Automatic Extraction of Genomic Glossary Triggered by Query
Discovering Senile Dementia from Brain MRI Using Ra-DenseNet
A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection
Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning
Neural Method for Detection of Complex Patterns in Databases
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
Concept Lattice-Based Mutation Control for Reactive Motifs Discovery
Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm
Combining Context and Existing Knowledge When Recognizing Biological Entities - Early Results
DB-Subdue: Database Approach to Graph Mining
Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text
XML Documents Clustering Using a Tensor Space Model
Real-Time Skill Discovery in Intelligent Virtual Assistants
A Clustering Validity Assessment Index
An Actor Network-Based Approach to Pirates Community Discovery in Peer-to-Peer Network
Spread of Information in a Social Network Using Influential Nodes
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification
AViz: A Visualization System for Discovering Numeric Association Rules
Instance-Guided Multi-modal Fake News Detection with Dynamic Intra- and Inter-modality Fusion
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection
Neighborhood Random Classification
OBE: Outlier by Example
Predicting Progression from Mild Cognitive Impairment to Alzheimer's Using an AI-Based Multimodal Approach
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection
Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction
A Survey on Neural Ordinary Differential Equations
Indicating Important Parts in Searched Web Pages by Retrieval Keywords
A Method to Recognize and Count Leaves on the Surface of a River Using User's Knowledge about Color of Leaves
Scaling Record Linkage to Non-uniform Distributed Class Sizes
Clustering Large Categorical Data
A Data Mining Approach for Query Refinement
QED: An Efficient Framework for Temporal Region Query Processing
An Improved Learning Algorithm for Augmented Naive Bayes
Value Added Association Rules
Discovering Periodic-Frequent Patterns in Transactional Databases
A Language and a Visual Interface to Specify Complex Spatial Patterns
QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams
Auto-encoder Based Co-training Multi-view Representation Learning
Scholarly Text Classification with Sentence BERT and Entity Embeddings
Secure Association Rule Sharing
Text Enhancement-Based Multimodal Fusion for Video Sentiment Analysis
Using Metric Space Indexing for Complete and Efficient Record Linkage
Reinforced Natural Language Inference for Distantly Supervised Relation Classification
A Relation Learning Hierarchical Framework for Multi-label Charge Prediction
Exploiting Hierarchical Domain Values for Bayesian Learning
Recovering Population Dynamics from a Single Point Cloud Snapshot
Feature Construction Based on Closedness Properties Is Not That Simple
Rule Extraction from Prediction Models
Scalable Random Forests for Massive Data
Cancer Identification Based on DNA Microarray Data
A Case for Analytical Customer Relationship Management
Leveraging the Common Cause of Errors for Constraint-Based Data Cleansing
Normalized Kernels as Similarity Indices
Learning Disentangled Task-Related Representation for Time Series
A Physarum-Inspired Ant Colony Optimization for Community Mining
Prospective Scientific Methodology in Knowledge Society
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation
Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM
Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural Networks
Capability Enhancement of Probabilistic Neural Network for the Design of Breakwater Armor Blocks
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation
ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval
A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization
Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks
Significant Node Identification in Social Networks
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data
CCAIIA: Clustering Categorial Attributed into Interseting Accociation Rules
1st International Workshop on Data Assessment and Readiness for AI
Flexible Transfer Learning Framework for Bayesian Optimisation
Class Based Weighted K-Nearest Neighbor over Imbalance Dataset
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences
Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process
The Influence in Twitter: Are They Really Influenced?
SASBO: Sparse Attack via Stochastic Binary Optimization
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification
FastStep: Scalable Boolean Matrix Decomposition
Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph Databases
From Cluster-Based Outlier Detection to Time Series Discord Discovery
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification
Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System
A High Performance Hierarchical Cubing Algorithm and Efficient OLAP in High-Dimensional Data Warehouse
Efficient Top K Temporal Spatial Keyword Search
Learning Finite Automata with Shuffle
Unsupervised Parameter Estimation for One-Class Support Vector Machines
A New Initialization Method for Clustering Categorical Data
Changepoint Detection via Subset Chains
Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression
Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features
Constrained Clustering for Gene Expression Data Mining
SkyDist: Data Mining on Skyline Objects
Multi-group-based User Perceptions for Friend Recommendation in Social Networks
The Unexplored Potential of Vision-Language Models for Generating Large-Scale Complementary-Label Learning Data
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
News Sensitive Stock Trend Prediction
Fast Graph Stream Classification Using Discriminative Clique Hashing
Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula
TiGer: Self-supervised Purification for Time-Evolving Graphs
Improved Negative-Border Online Mining Approaches
Adaptive Prediction Interval for Data Stream Regression
Pruning Derivative Partial Rules During Impact Rule Discovery
Automated Product-Attribute Mapping
Streaming Media Securely over Multipath Multihop Wireless Network
Parallel Visual Assessment of Cluster Tendency on GPU
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases
Query-oriented Graph Clustering
A Practice of Post-training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio
Discovery of Regional Co-location Patterns with k -Nearest Neighbor Graph
Few-Shot Human Motion Prediction for Heterogeneous Sensors
An Optimum Random Forest Model for Prediction of Genetic Susceptibility to Complex Diseases
Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ
Rare Category Detection on O(dN) Time Complexity
A Simple Characterization on Serially Constructible Episodes
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs
SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Mining Frequent Sequences Using Itemset-Based Extension
Frequent Closures as a Concise Representation for Binary Data Mining
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction
A Framework for Incorporating Class Priors into Discriminative Classification
Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks
Dimensionality Reduction with Dimension Selection
Improving Temporal Record Linkage Using Regression Classification
Conceptual Mining of Large Administrative Health Data
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping
Cost Sensitive Learning in the Presence of Symmetric Label Noise
Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms
Evaluation of Interestingness Measures for Ranking Discovered Knowledge