yusuke1997/dblp-id-title huggingface dataset:
CMed-GPT: Prompt Tuning for Entity-Aware Chinese Medical Dialogue Generation
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter
Pushing Tougher Constraints in Frequent Pattern Mining
Visualization of PICO Elements for Information Needs Clarification and Query Refinement
DVIZ: A System for Visualizing Data Mining
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
Clustering and Understanding Documents via Discrimination Information Maximization
Feature Mining and Mapping of Collinear Data
Text Categorization of Multilingual Web Pages in Specific Domain
Prompt-Based Relation Extraction By Reasoning with Contextual Knowledge
Quantum-Inspired Immune Clonal Multiobjective Optimization Algorithm
Mining User Interests from Information Sharing Behaviors in Social Media
Attention-Based Graph Evolution
Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles
JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
Mining Frequent Progressive Usage Patterns Across Multiple Mobile Broadcasting Channels
Finding the Optimal Feature Representations for Bayesian Network Learning
Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data
ComFairGNN: Community Fair Graph Neural Network
Personalized Regularization Learning for Fairer Matrix Factorization
Using Association Rules to Solve the Cold-Start Problem in Recommender Systems
Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning
Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
Anonymization for Multiple Released Social Network Graphs
Integrating Content Centric Networking and Web Content Mining: A Future Efficient Internet Architecture for Healthcare
Multi-task Knowledge Graph Representations via Residual Functions
Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction
Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
Mining Cohesive Clusters with Interpretations in Labeled Graphs
Modeling Treatment Effect with Cross-Domain Data
A Decision Tree Approach to Predicting Recidivism in Domestic Violence
CP-Tree: A Tree Structure for Single-Pass Frequent Pattern Mining
SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model
Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints
Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling
LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection
A New Sequential Mining Approach to XML Document Similarity Computation
Parameter-Free Bayesian Decision Trees for Uplift Modeling
DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree
A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection
A Double-Ensemble Approach for Classifying Skewed Data Streams
Bayesian Group Feature Selection for Support Vector Learning Machines
Towards Automatic Generation of Metafeatures
Performance Measurements for Privacy Preserving Data Mining
Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation
Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS
Utilizing Past Relations and User Similarities in a Social Matching System
Incremental Mining of Schema for Semistructured Data
MixCL: Mixed Contrastive Learning for Relation Extraction
A Game-Theoretic Adversarial Approach to Dynamic Network Prediction
Maximizing Social Influence on Target Users
Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation
Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles
Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery
Inference of a Concise Regular Expression Considering Interleaving from XML Documents
Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra
Adaptive Clustering for Network Intrusion Detection
Cross-Domain Sentiment Classification via a Bifurcated-LSTM
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data
Structure-Aware Distance Measures for Comparing Clusterings in Graphs
Detecting Multiple Stochastic Network Motifs in Network Data
A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data
Extensions to Quantile Regression Forests for Very High-Dimensional Data
Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups within One Document
Transferable Contextual Bandits with Prior Observations
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning
Determine Optimal Number of Clusters with an Elitist Evolutionary Approach
Enumerating Non-redundant Association Rules Using Satisfiability
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition
Prototypical Classifier for Robust Class-Imbalanced Learning
Fast Community Detection with Graph Sparsification
Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression
DeepReview: Automatic Code Review Using Deep Multi-instance Learning
A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees
QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model
LoPAD: A Local Prediction Approach to Anomaly Detection
RIPEx: Extracting Malicious IP Addresses from Security Forums Using Cross-Forum Learning
Cross-Lingual Sentiment Classification via Bi-view Non-negative Matrix Tri-Factorization
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records
Making Knowledge Extraction and Reasoning Closer
Hierarchical Graph Summarization: Leveraging Hybrid Information through Visible and Invisible Linkage
Convergence and Applications of ADMM on the Multi-convex Problems
Indoor Positioning System for Smart Homes Based on Decision Trees and Passive RFID
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
HiPaR: Hierarchical Pattern-Aided Regression
Probing Knowledge in Distributed Data Mining
An Empirical Model for n-gram Frequency Distribution in Large Corpora
Feature Subsumption for Sentiment Classification in Multiple Languages
Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems
Using Transformer Based Ensemble Learning to Classify Scientific Articles
Cross-Lingual Document Clustering
Efficient Deep Web Crawling Using Reinforcement Learning
Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
Exploiting Spatial Attention and Contextual Information for Document Image Segmentation
Semantic Social Network Analysis with Text Corpora
Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering
Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering
Aspect-Based Fake News Detection
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction
Upgraded Attention-Based Local Feature Learning Block for Speech Emotion Recognition
Detecting Link Hijacking by Web Spammers
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction
Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest
Predicting Smartphone Adoption in Social Networks
CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases
UCI++: Improved Support for Algorithm Selection Using Datasetoids
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
Extracting Causation Knowledge from Natural Language Texts
Selecting Feature Subset via Constraint Association Rules
Deriving Private Information from Arbitrarily Projected Data
Information Extraction from Thai Text with Unknown Phrase Boundaries
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings
Toward Mining User Traversal Patterns in the Indoor Environment
Deep Multimodal Clustering with Cross Reconstruction
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
A Semi-automatic System for Tagging Specialized Corpora
Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks
Spatial Entropy-Based Clustering for Mining Data with Spatial Correlation
CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs
A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction
Mental Health Treatments Using an Explainable Adaptive Clustering Model
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model
Modeling Citation Trajectories of Scientific Papers
Equitable Conceptual Clustering Using OWA Operator
Agent-Based Subspace Clustering
Learning from Multiple Observers with Unknown Expertise
Instance Selection for Online Updating in Dynamic Recommender Environments
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data
An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem
Data Collection and Analysis from Social Network - Profile Analyzer System (PAS)
Autonomous Vehicle Path Prediction Using Conditional Variational Autoencoder Networks
TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System
Differential Privacy Preserving Spectral Graph Analysis
Computing Substitution Matrices for Genomic Comparative Analysis
Learning Product Embedding from Multi-relational User Behavior
Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant
rRNA of Alphaproteobacteria Rickettsiales and mtDNA Pattern Analyzing with Apriori & SVM
Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding
Enhancing Skills Extraction for Domain-Specific Taxonomy Mapping
An Analysis of Quantitative Measures Associated with Rules
Spatial-Temporal Bipartite Graph Attention Network for Traffic Forecasting
Using Mobile Phone Location Data for Urban Activity Analysis
Incorporating Prior Domain Knowledge into a Kernel Based Feature Selection Algorithm
SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer
Detecting and Analyzing Influenza Epidemics with Social Media in China
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures
Graph Based Relational Features for Collective Classification
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection
HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification
A Single Index Approach for Time-Series Subsequence Matching That Supports Moving Average Transform of Arbitrary Order
Accurate Synthetic Generation of Realistic Personal Information
Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis
Time Series Forecasting Using Distribution Enhanced Linear Regression
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules
Learning Hidden Markov Model Topology Based on KL Divergence for Information Extraction
Predicting Locations of Mobile Users Based on Behavior Semantic Mining
SAFE: Similarity-Aware Multi-modal Fake News Detection
A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism
Data Transformation for Sum Squared Residue
Fuzzy World: A Tool Training Agent from Concept Cognitive to Logic Inference
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
Adaptive Attention Network for Review Sentiment Classification
A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System
Modeling Hierarchical Intents and Selective Current Interest for Session-Based Recommendation
Evaluate Structure Similarity in XML Documents with Merge-Edit-Distance
SePMa: An Algorithm That Mining Sequential Processes from Hybrid Log
Preventing Inadvertent Information Disclosures via Automatic Security Policies
BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification
MDAN: Multi-distribution Adaptive Networks for LTV Prediction
Multiple Self-Splitting and Merging Competitive Learning Algorithm
Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms
Mining Temporal Indirect Associations
iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping
Anomaly Intrusion Detection Based on Dynamic Cluster Updating
Inferring Strange Behavior from Connectivity Pattern in Social Networks
Learning Multigraph Node Embeddings Using Guided Lévy Flights
Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network
An Explicit Description of the Extended Gaussian Kernel
Toward Automatic Censorship Detection in Microblogs
Uncertain Data Mining: An Example in Clustering Location Data
An Advanced Fuzzy C-Mean Algorithm for Regional Clustering of Interconnected Systems
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises
Density-Sensitive Evolutionary Clustering
Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling based NystrÖm Method
Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage
Missing Value Estimation Based on Dynamic Attribute Selection
DSBPR: Dual Similarity Bayesian Personalized Ranking
A Novel KNN Approach for Session-Based Recommendation
An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning
Spatial Gene Expression Prediction Using Multi-Neighborhood Network with Reconstructing Attention
A Network-Based Approach for Collaborative Filtering Recommendation
Constructive Meta-level Feature Selection Method Based on Method Repositories
RKOF: Robust Kernel-Based Local Outlier Detection
ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks
Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets
Coded Hate Speech Detection via Contextual Information
Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining
Attack Is the Best Defense: A Multi-Mode Poisoning PUF Against Machine Learning Attacks
Multimodal Contrastive Learning for Dialogue Embeddings with Global and Local Views
Approximately Mining Recently Representative Patterns on Data Streams
Double Weighted Low-Rank Representation and Its Efficient Implementation
An Unsupervised Learning Model to Perform Side Channel Attack
o-HETM: An Online Hierarchical Entity Topic Model for News Streams
Discovering All-Chain Set in Streaming Time Series
Few-Shot Unlearning for Large Language Models Through Pretrained Soft Prompts
Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction
Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
Sentiment Analysis in Transcribed Utterances
Automatic Text Extraction for Content-Based Image Indexing
Multiple Instance Learning for Group Record Linkage
Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem
Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks
Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series
Mining Classification Knowledge Based on Cloud Models
Workshop BioDM'07 - An Overview
A Framework for Mining Fuzzy Association Rules from Composite Items
Inter-sentence and Implicit Causality Extraction from Chinese Corpus
An Integrated System of Mining HTML Texts and Filtering Structured Documents
Learning Topic-Oriented Word Embedding for Query Classification
S 2 QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph
Building a Text Classifier by a Keyword and Unlabeled Documents
On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches
Discovery of Patterns in Global Earth Science Data Using Data Mining
Classification Probabilistic PCA with Application in Domain Adaptation
Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction
A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System
Extension of Graph-Based Induction for General Graph Structured Data
Using Knowledge Graph to Handle Label Imperfection
Mining Uncertain Sequence Data on Hadoop Platform
Discovering Numeric Association Rules via Evolutionary Algorithm
A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning
Lifelong Learning Based Disease Diagnosis on Clinical Notes
R-Map: Mapping Categorical Data for Clustering and Visualization Based on Reference Sets
Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores
An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class
Friend Recommendation Considering Preference Coverage in Location-Based Social Networks
Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
Machine Learning for Analyzing Human Brain Function
Satisfying Privacy Requirements: One Step before Anonymization
Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective
Frequent Pattern Outlier Detection Without Exhaustive Mining
KDD for BSN - Towards the Future of Pervasive Sensing
Multi-modal and Multi-granular Learning
Centroid-Means-Embedding: An Approach to Infusing Word Embeddings into Features for Text Classification
Neighbor-Based Link Prediction with Edge Uncertainty
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee
A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification
The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines
Hybrid-ε-greedy for Mobile Context-Aware Recommender System
Mining Structured Association Patterns from Databases
AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases
Accelerating Adaptive Online Learning by Matrix Approximation
Can Self Supervision Rejuvenate Similarity-Based Link Prediction?
Single Factor Analysis in MML Mixture Modelling
Visualization of Cluster Changes by Comparing Self-organizing Maps
Visualizing Cluster Structures and Their Changes over Time by Two-Step Application of Self-Organizing Maps
A Finetuned Language Model for Recommending cQA-QAs for Enriching Textbooks
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
Detail Perception Network for Semantic Segmentation in Water Scenes
Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis
Extracting Citation Metadata from Online Publication Lists Using BLAST
Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression
Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder
CDSSD: Refreshing Single Shot Object Detection Using a Conv-Deconv Network
A Rough Set Approach to Classifying Web Page Without Negative Examples
Towards Multi-subsession Conversational Recommendation
Crowdordering
Mining Top-K Relevant Stay Regions from Historical Trajectories
Computing and Mining ClustCube Cubes Efficiently
Motif-Aware Diffusion Network Inference
Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Revised Selected Papers
Knowledge Graph Rule Mining via Transfer Learning
Robust Faster R-CNN: Increasing Robustness to Occlusions and Multi-scale Objects
A Hypergraph Neural Network with Motif Interaction Enhancement
Frequency-Weighted Fuzzy Time-Series Based on Fibonacci Sequence for TAIEX Forecasting
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems
Exploiting Label Dependency for Hierarchical Multi-label Classification
Multiple Databases, Partial Reasoning, and Knowledge Discovery
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube
Minimum Message Length Segmentation
Fusing Essential Knowledge for Text-Based Open-Domain Question Answering
Knowledge Discovery in Discretionary Legal Domains
TCN-ATT: A Non-recurrent Model for Sequence-Based Malware Detection
Turning Uncertainty to Information by Intervals in Ensemble Classifiers
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts
PCANE: Preserving Context Attributes for Network Embedding
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
Keyword Extraction Based on PageRank
A Semi-supervised Incremental Clustering Algorithm for Streaming Data
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification
A Function-Based Classifier Learning Scheme Using Genetic Programming
Learning the Funding Momentum of Research Projects
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII
Is Frequency Enough for Decision Makers to Make Decisions?
Grouped ECOC Conditional Random Fields for Prediction of Web User Behavior
Mining Top-K Frequent Closed Itemsets Is Not in APX
Research Frontiers in Advanced Data Mining Technologies and Applications
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition
Node Conductance: A Scalable Node Centrality Measure on Big Networks
Reducing Overfitting in Predicting Intrinsically Unstructured Proteins
Mint: An Efficient and Robust In-Place Update Approach for Graph-Based Vector Index
Analysis of Foreign Direct Investment and Economic Development in the Yangtze Delta and Its Squeezing-in and Out Effect
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II
Reduction of the Position Bias via Multi-level Learning for Activity Recognition
Nearest Neighbor Method Based on Local Distribution for Classification
Leveraging Hybrid Citation Context for Impact Summarization
A General Framework for Parallel Unary Operations on ZDDs