yusuke1997/dblp-id-title huggingface dataset:
Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III
Visual Analysis of Uncertainty in Trajectories
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal
A Set Correlation Model for Partitional Clustering
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
Heterogeneous Item Recommendation for the Air Travel Industry
When does Co-training Work in Real Data?
Three-way Indexing ZDDs for Large-Scale Sparse Datasets
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries
The Unsymmetrical-Style Co-training
CCCG: Clique Conversion Ratio Driven Clustering of Graphs
Automatic View Selection: An Application to Image Mining
Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Supportive Utility of Irrelevant Features in Data Preprocessing
Scalable Similarity Matching in Streaming Time Series
Efficient Utilization of Materialized Views in a Data Warehouse
Robust Semi-Supervised Learning on Multiple Networks with Noise
Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering
A New Framework for Dissimilarity and Similarity Learning
Improving Generalization in Deep Neural Networks by Mitigating Memorization
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain
Recommendation Algorithm Design in a Land Exchange Platform
Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations
MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor
Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
Classifier Construction by Graph-Based Induction for Graph-Structured Data
DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling
Efficient Interactive Training Selection for Large-Scale Entity Resolution
Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs
Medicinal Property Knowledge Extraction from Herbal Documents for Supporting Question Answering System
Episode Adaptive Embedding Networks for Few-Shot Learning
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media
Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD
MaP2R: A Personalized Maximum Probability Route Recommendation Method Using GPS Trajectories
Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines
Discovering Periodic Patterns in Non-uniform Temporal Databases
Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game
Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map
Com2: Fast Automatic Discovery of Temporal ('Comet') Communities
UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering
Constructing Conceptual Scales in Formal Analysis
Fuzzy Multi-Sphere Support Vector Data Description
Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search
A Comparative Study of Classification Based Personal E-mail Filtering
Learning Bayesian Networks Structures from Incomplete Data: An Efficient Approach Based on Extended Evolutionary Programming
Privacy-Preserving EM Algorithm for Clustering on Social Network
Ranking Tweets with Local and Global Consistency Using Rich Features
Towards One Reusable Model for Various Software Defect Mining Tasks
Minimal Jumping Emerging Patterns: Computation and Practical Assessment
Incorporating Word Embeddings into Open Directory Project Based Large-Scale Classification
Level Set Estimation with Search Space Warping
RADAR: Rare Category Detection via Computation of Boundary Degree
Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging
Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Online Data Fusion Using Incremental Tensor Learning
Weak Correlation-Based Discriminative Dictionary Learning for Image Classification
Interest Driven Graph Structure Learning for Session-Based Recommendation
An Incremental Dual nu-Support Vector Regression Algorithm
Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation
Online Learning for Accurate Real-Time Map Matching
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction
Scalable Approximation Algorithm for Graph Summarization
Feature Maximization Based Clustering Quality Evaluation: A Promising Approach
Predicting Destinations from Partial Trajectories Using Recurrent Neural Network
Compression for Anti-Adversarial Learning
Applications of Data Mining Methods in the Evaluation of Client Credibility
Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process
Mining Changes in Patent Trends for Competitive Intelligence
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Top-N Recommendations by Learning User Preference Dynamics
Meaningful Subsequence Matching under Time Warping Distance for Data Stream
SILVER: Generating Persuasive Chinese Product Pitch
Dam Inflow Time Series Regression Models Minimising Loss of Hydropower Opportunities
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 III
Locally Linear Online Mapping for Mining Low-Dimensional Data Manifolds
A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network
Efficient Algorithms for Mining Frequent and Closed Patterns from Semi-structured Data
BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data
Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement
Achieving Private Recommendations Using Randomized Response Techniques
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis
Efficient Mining of Emerging Events in a Dynamic Spatiotemporal Environment
Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining
Negative Localized Relationship Among p70S6 with Smad1, 2, 3 and p38 in Three Treated Human Cancer Cell Lines
Mining Protein Interactions from Text Using Convolution Kernels
An Extended Negative Selection Algorithm for Anomaly Detection
An Integrated Approach to Multi-criteria-Based Health Care Facility Location Planning
GBCE: Enhanced Training Loss to Estimate Accuracy of Models in Production
WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining
Towards Automated Design of Large-Scale Circuits by Combining Evolutionary Design with Data Mining
Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior
Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data
A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time
Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies
Local Graph Clustering by Multi-network Random Walk with Restart
A DC Programming Approach for Sparse Optimal Scoring
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition
Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction
Service, Security and Its Data Management for Ubiquitous Computing - Overview
Bridging Semantic and Emotional Gaps in Speech Emotion Recognition: A Novel LightGBM-Stacking Architecture
Online and Stochastic Universal Gradient Methods for Minimizing Regularized Hölder Continuous Finite Sums in Machine Learning
Mining E-Commerce Data: The Good, the Bad, and the Ugly
Global-Aware External Attention Deep Model for Sequential Recommendation
MGPDF: A Multi-modal Gaussian Process Decision-Level Fusion Model for Parkinson's Disease Prediction
Cancer Based Pharmacogenomics Network for Drug Repurposing
A Quantitative Method for RSS Based Applications
Discovering Case Knowledge Using Data Mining
Local-to-Global Unsupervised Anomaly Detection from Temporal Data
An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection
Learning Overlap Optimization for Domain Decomposition Methods
Improved Rule Discovery Performance on Uncertainty
Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation
Multiple Instance Learning for Unilateral Data
NLPMM: A Next Location Predictor with Markov Modeling
The Role of Hubs in Cross-Lingual Supervised Document Retrieval
Local Feature Based Tensor Kernel for Image Manifold Learning
A Fast Algorithm for Finding Correlation Clusters in Noise Data
GraphNILM: A Graph Neural Network for Energy Disaggregation
Suggestions for Fresh Search Queries by Mining Mircoblog Topics
Towards a Novel Association Measure via Web Search Results Mining
Projection-Free Bandit Convex Optimization over Strongly Convex Sets
Scalable Textual Similarity Search on Large Document Collections Through Random Indexing and K-means Clustering
Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents
Seabreeze Prediction Using Bayesian Networks
Multi-View Matrix Completion for Clustering with Side Information
Online Sampling of High Centrality Individuals in Social Networks
Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness
An Effective Design of an Active RFID Reader Using a Cache of Tag Memory Data
A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities
Measurement of Users' Experience on Online Platforms from Their Behavior Logs
Localization Through Deep Learning in New and Low Sampling Rate Environments
An Edge-Centric Approach for Change Point Detection in Dynamic Networks
Security Analysis and Enhancement of One-Way Hash Based Low-Cost Authentication Protocol (OHLCAP)
A New Decision Tree Classification Method for Mining High-Speed Data Streams Based on Threaded Binary Search Trees
Interactive Visualization System for Decision Making Support in Online Shopping
The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks
A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
Empirical Study of Recommender Systems Using Linear Classifiers
Clustering Multi-represented Objects Using Combination Trees
Information-Theoretic Non-redundant Subspace Clustering
Unsupervised Analysis of Web Page Semantic Structures by Hierarchical Bayesian Modeling
Targeted Knowledge Transfer for Learning Traffic Signal Plans
Finding Foundation Models for Time Series Classification with a PreText Task
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree
The HIV Data Mining Tool for Government Decision-Making Support
GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering
Cost Matters: A New Example-Dependent Cost-Sensitive Logistic Regression Model
Automatic Fake Followers Detection in Chinese Micro-blogging System
Embedding New Data Points for Manifold Learning Via Coordinate Propagation
BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator
Sentence-Level Novelty Detection in English and Malay
Multimedia Semantics Integration Using Linguistic Model
Multi-scale Control Model for Network Group Behavior
Local Feature Selection by Formal Concept Analysis for Multi-class Classification
PAKDD 2007 Industrial Track Workshop
Code Action Network for Binary Function Scope Identification
Establishing Semantic Relationship in Inter-query Learning for Content-Based Image Retrieval Systems
Considering Re-occurring Features in Associative Classifiers
Identifying Singleton Spammers via Spammer Group Detection
Collaborative Data Cleaning for Sentiment Classification with Noisy Training Corpus
A Vector Field Visualization Technique for Self-organizing Maps
FLiB: Fair Link Prediction in Bipartite Network
A Clustering Algorithm Based on Mechanics
Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking
Learning to Rank Based on Choquet Integral: Application to Association Rules
Named Entity Recognition and Identification for Finding the Owner of a Home Page
A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection
Analogy-Augmented Generation with Procedural Memory for Procedure Generation
Fast Triangle Core Decomposition for Mining Large Graphs
Opinion-Based Imprecise Query Answering
Continuously Predicting the Completion of a Time Intervals Related Pattern
Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs
Application-Independent Feature Construction from Noisy Samples
A BIRCH-Based Clustering Method for Large Time Series Databases
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting
Combining Support Vector Machines and the t -statistic for Gene Selection in DNA Microarray Data Analysis
Online Bayes Point Machines
L0-Constrained Regression for Data Mining
Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms
A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network
RNRank: Network-Based Ranking on Relational Tuples
Alignment of Biomedical Ontologies Using Life Science Literature
Positional Translation Language Model for Ad-Hoc Information Retrieval
Expert-Guided Toxicity Filtration for Debiased Generation
Subtopic Mining via Modifier Graph Clustering
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation
Sustainability Knowledge Mining from Human Development Database
Cell-Based Outlier Detection Algorithm: A Fast Outlier Detection Algorithm for Large Datasets
Reducing Rule Covers with Deterministic Error Bounds
Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz
An Efficient Algorithm for Incremental Update of Concept Spaces
Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation
Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems
Outlying Aspect Mining via Sum-Product Networks
GEMINIO: Finding Duplicates in a Question Haystack
Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model
An Effective Density-Based Hierarchical Clustering Technique to Identify Coherent Patterns from Gene Expression Data
Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation
Nonlinear Matrix Factorization via Neighbor Embedding
Exploring Celebrities on Inferring User Geolocation in Twitter
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
Exploiting the Block Structure of Link Graph for Efficient Similarity Computation
Enhancing Message Sequence Charts with Spatial Knowledge
An Effective Feature Selection Method for Text Categorization
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures
Local Projection in Jumping Emerging Patterns Discovery in Transaction Databases
Applying Migrating Birds Optimization to Credit Card Fraud Detection
A New Model for Image Annotation
Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and Eliminating
Formal Approach and Automated Tool for Translating ER Schemata into OWL Ontologies
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification
Feature Extraction from EEG Data for a P300 Based Brain-Computer Interface
Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation
A Kernel Function Method in Clustering
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
An Aggressive Margin-Based Algorithm for Incremental Learning
Mining Biomedical Literature and Ontologies for Drug Repositioning Discovery
Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction
Efficient Gossiping Dissemination in Mobile Peer-to-Peer Environment Based on Neighborhood Detection
Effective Evaluation Measures for Subspace Clustering of Data Streams
A New Loss for Image Retrieval: Class Anchor Margin
Erratum: A Coupled Clustering Approach for Items Recommendation
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
Combating Quality Distortion in Federated Learning with Collaborative Data Selection
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Constrained LDA for Grouping Product Features in Opinion Mining
Locating Motifs in Time-Series Data
Estimating the Risk of Individual Discrimination of Classifiers
Multi-Task Metric Learning on Network Data
Content-Based Video Data-Management: Key-Segment Extraction, MPEG-7 Summarisation, and XQUERY Retrieval
For User-Driven Software Evolution: Requirements Elicitation Derived from Mining Online Reviews
Discovering Conceptual Differences among Different People via Diverse Structures
On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
An Efficient Approach for Incremental Association Rule Mining
Satrap: Data and Network Heterogeneity Aware P2P Data-Mining
A Kernel Framework for Protein Residue Annotation
Vertical Federated Learning Across Second-Hop Parties
Supervised Learning with Minimal Effort
Modelling Gene Networks by a Dynamic Bayesian Network-Based Model with Time Lag Estimation
Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering
Random Pairwise Shapelets Forest
Forgetting Word Segmentation in Chinese Text Classification with L 1-Regularized Logistic Regression
Parameter Transfer Unit for Deep Neural Networks
Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement
The TIMERS II Algorithm for the Discovery of Causality
Time-Evolving Relational Classification and Ensemble Methods
Efficient Page-Level Data Extraction via Schema Induction and Verification
BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up Evaluation
Personalized Item-of-Interest Recommendation on Storage Constrained Smartphone Based on Word Embedding Quantization
Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges
Fake News Detection with Heterogenous Deep Graph Convolutional Network
Spectral Energy Minimization for Semi-supervised Learning
Mining Human Periodic Behaviors Using Mobility Intention and Relative Entropy
Multistep-Ahead Time Series Prediction
Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns
Rule-Validated Negative Sampling for Temporal Knowledge Graphs
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
Semantic Title Evaluation and Recommendation Based on Topic Models
A Novel Spatial Clustering with Obstacles Constraints Based on Particle Swarm Optimization and K-Medoids
APFL: Active-Passive Forgery Localization for Medical Images
Dynamic Mining Hierarchical Topic from Web News Stream Data Using Divisive-Agglomerative Clustering Method
New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers
Extraction of Fuzzy Clusters from Weighted Graphs
Privacy-Preserving Sequential Pattern Release
S-CPD: Topological Smoothing-Based Change Point Detection
Recovering DTW Distance Between Noise Superposed NHPP
Basket Analysis for Graph Structured Data
Plant Leaf Disease Segmentation Using Compressed UNet Architecture
SETRED: Self-training with Editing
Temp-EASE: Temporal Knowledge Graph Reasoning with Evolution Awareness and Semantic Enhancement
A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers' Flow Prediction after Train Accidents
gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data
Condensed Representation of Emerging Patterns
Mask-Guided Region Attention Network for Person Re-Identification
Classification and Pattern Discovery of Mood in Weblogs
FARF: A Fair and Adaptive Random Forests Classifier
A Digital Rights Management Architecture for Multimedia in P2P
Consensus Graph Learning for Incomplete Multi-view Clustering
A Practical Method for Approximate Subsequence Search in DNA Databases
Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints
Fast Discovery of Reliable k -terminal Subgraphs
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding
CCRM: An Effective Algorithm for Mining Commodity Information from Threaded Chinese Customer Reviews
An Efficient Candidate Pruning Technique for High Utility Pattern Mining
PAID: Packet Analysis for Anomaly Intrusion Detection
Improving Rough Classifiers Using Concept Ontology
Targeted Attacks on Time Series Forecasting
Mining Approximate Keys Based on Reasoning from XML Data
AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency
DiffFind: Discovering Differential Equations from Time Series
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter
A Fast Greedy Algorithm for Outlier Mining
Automatic Assignment of Item Weights for Pattern Mining on Data Streams
DialRet: Enhancing Dialogue Retention for Multi-session Conversations
Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization
Payload-Based Statistical Intrusion Detection for In-Vehicle Networks
Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database
A Centrality-Based Local-First Approach for Analyzing Overlapping Communities in Dynamic Networks
Automatic Segmentation and Quantitative Analysis of Gray Matter on MR Images of Patients with Epilepsy Based on Unsupervised Learning Methods
PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context
Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation
Improved Spectral Hashing
Behavior Classification of Dairy Cows Fitted with GPS Collars
High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network
Dynamic Fuzzy Clustering for Recommender Systems
Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting
A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods
Affection Factor Optimization in Data Field Clustering
Fairness Driven Slot Allocation Problem in Billboard Advertisement
Clustering Patient Medical Records via Sparse Subspace Representation
Semantic Change Computation: A Successive Approach
A Wavelet Analysis Based Data Processing for Time Series of Data Mining Predicting
Forest CERN: A New Decision Forest Building Technique
Improving k Nearest Neighbor with Exemplar Generalization for Imbalanced Classification
Distributed Sequential Pattern Mining in Large Scale Uncertain Databases