yusuke1997/dblp-id-title huggingface dataset:
Optimal Subgroup Discovery in Purely Numerical Data
Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks
Feature Selection for Temporal Health Records
Effective Top-Down Active Learning for Hierarchical Text Classification
Scalable Model-Based Cascaded Imputation of Missing Data
GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study)
On the Size of Training Set and the Benefit from Ensemble
Utility Aware Clustering for Publishing Transactional Data
A Joint Optimization Approach for Personalized Recommendation Diversification
Data Mining Grand Challenges
An Automata Based Authorship Identification System
Parameter Estimation Using Improved Differential Evolution (IDE) and Bacterial Foraging Algorithm to Model Tyrosine Production in Mus Musculus (Mouse)
IDLP: A Novel Label Propagation Framework for Disease Gene Prioritization
Item Set Mining Based on Cover Similarity
Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application
Towards Cost-Sensitive Learning for Real-World Applications
Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees
Path-Aware Cross-Attention Network for Question Answering
Efficient Mining of High Utility Itemsets from Large Datasets
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks
Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks
Internal Clustering Evaluation of Data Streams
Few-Shot Knowledge Graph Entity Typing
Finding Frequent Items in Data Streams Using ESBF
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
Sampling Frequent and Diverse Patterns Through Compression
Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification
Improving on Bagging with Input Smearing
Unsupervised Change Analysis Using Supervised Learning
Behavior-Based Location Recommendation on Location-Based Social Networks
A Novel Indexing Approach for Efficient and Fast Similarity Search of Captured Motions
A Clustering-Oriented Star Coordinate Translation Method for Reliable Clustering Parameterization
Transformer based Multitask Learning for Image Captioning and Object Detection
ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning
Discovering Correlated Items in Data Streams
Noise Tolerant Classification by Chi Emerging Patterns
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds
A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks
One for the Road: Recommending Male Street Attire
Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting
Peer Matrix Alignment: A New Algorithm
Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection
Mining of Evolving Data Streams with Privacy Preservation
A Connectionist Model-Based Approach to Centrality Discovery in Social Networks
A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer
Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021
A New Restricted Bayesian Network Classifier
Multi-fair Capacitated Students-Topics Grouping Problem
Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways
Mining Frequent Spatial Patterns in Image Databases
Modeling Temporal Behavior of Awards Effect on Viewership of Movies
Efficient Search of Reliable Exceptions
Partitioning-Based Mechanisms Under Personalized Differential Privacy
A Novel Parameter-Less Clustering Method for Mining Gene Expression Data
Patterns of Influence in a Recommendation Network
On Robust and Effective K-Anonymity in Large Databases
Visual Relation Extraction via Multi-modal Translation Embedding Based Model
Dynamically-Scaled Deep Canonical Correlation Analysis
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers
Detecting Community Structure in Complex Networks by Optimal Rearrangement Clustering
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks
Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient Stability
Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton
Cross-Lingual Product Retrieval in E-Commerce Search
An Unsupervised Feature Selection Framework Based on Clustering
Label Distribution Learning Based Age-Invariant Face Recognition
Modelling the Efficacy of Auto-Internet Warnings to Reduce Demand for Child Exploitation Materials
Improving Bagging Performance through Multi-algorithm Ensembles
Next Item and Interval Prediction of New Users Using Meta-Learning on Dynamic Network
Neighbourhood Contrast: A Better Means to Detect Clusters Than Density
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
MFBE: Leveraging Multi-field Information of FAQs for Efficient Dense Retrieval
Clustering Large Collection of Biomedical Literature Based on Ontology-Enriched Bipartite Graph Representation and Mutual Refinement Strategy
Subspace Clustering of High Dimensional Spatial Data with Noises
On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification
False Negative Sample Aware Negative Sampling for Recommendation
Spanning Tree Based Attribute Clustering
Emotion Classification with Data Augmentation Using Generative Adversarial Networks
Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs
Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling
A Novel Framework for Node/Edge Attributed Graph Embedding
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection
Self-Similar Mining of Time Association Rules
Balancing Exploration and Exploitation in Self-imitation Learning
Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification
Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams
Corporate Carbon Emission Prediction: Combining Structured and Unstructured Data
Study of Mobile Value-Added Services with Augmented Reality
Hyperlink-Aware Mining and Analysis of the Web
Predicting the Short-Term Market Reaction to Asset Specific News: Is Time Against Us?
Principal Sensitivity Analysis
Modeling IsA Relations via Box Structure for Knowledge Graph Embedding
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data
CD: A Coupled Discretization Algorithm
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation
SGCN: A Graph Sparsifier Based on Graph Convolutional Networks
Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature
Discovering Valuable User Behavior Patterns in Mobile Commerce Environments
Resource Allocation and Scheduling Problem Based on Genetic Algorithm and Ant Colony Optimization
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams
Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification
Efficient Token Fusion for Transformer-Based Semantic Segmentation
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization
Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams
Material Microstructure Design Using VAE-Regression with a Multimodal Prior
Stochastic Submodular Maximization via Polynomial Estimators
Enhancing Textual Data Quality in Data Mining: Case Study and Experiences
Multiresolution-Based BiLinear Recurrent Neural Network
An Efficient Framework for Mining Flexible Constraints
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method
Association Rule Mining on Remotely Sensed Images Using P-trees
Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis
ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data
Image Segmentation with Superpixel Based Covariance Descriptor
Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification
Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification
Team Expansion in Collaborative Environments
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training
Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features
Study on Trust Inference and Emergence of Economical Small-World Phenomena in P2P Environment
Automatic Restaurant Information and Keyword Extraction by Mining Blog Data for Chinese Restaurant Search
LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table
An Intelligent System Based on Kernel Methods for Crop Yield Prediction
A Survey of Foundation Models for Environmental Science
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems
ND-Sync: Detecting Synchronized Fraud Activities
Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed
Trace Mining from Distributed Assembly Databases for Causal Analysis
Centroid Neural Network with Bhattacharyya Kernel for GPDF Data Clustering
Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN
Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization
Mining Mobile Users' Activities Based on Search Query Text and Context
A Classification and Relationship Extraction Scheme for Raltional Databases Based on Fuzzy Logic
QRM: A Probabilistic Model for Search Engine Query Recommendation
Feature Selection by Nonparametric Bayes Error Minimization
FinTab-LLaVA: Finance Domain-Specific Table Understanding Multimodal LLM Using FinTMD
Fact Aware Multi-task Learning for Text Coherence Modeling
Learning Conditional Latent Structures from Multiple Data Sources
Granger Causality for Heterogeneous Processes
RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems
Cleopatra: Evolutionary Pattern-Based Clustering of Web Usage Data
Complaint Classification Using Hybrid-Attention GRU Neural Network
Clustering of Mixed-Type Data Considering Concept Hierarchies
A Social Spam Detection Framework via Semi-supervised Learning
On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection
Temporal Sequence Associations for Rare Events
Attribute Transformations on Numerical Databases. Applications to Stock Market and Economic Data
Evolutionary Approach for Mining Association Rules on Dynamic Databases
CubeFlow: Money Laundering Detection with Coupled Tensors
Depth First Generation of Frequent Patterns Without Candidate Generation
Learning-Based Dynamic Graph Stream Sketch
Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism
Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction
When to Update the Sequential Patterns of Stream Data?
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement
An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks
Weighted Chaos Game Representation for Molecular Sequence Classification
Distributed Document Representation for Document Classification
Mentor Pattern Identification from Product Usage Logs
Mining Temporal Co-orientation Pattern from Spatio-temporal Databases
An Iterative Fusion Approach to Graph-Based Semi-Supervised Learning from Multiple Views
Comparison of Tree Based Methods on Mammography Data
The Impact of Feature Representation to the Biclustering of Symptoms-Herbs in TCM
Extreme Support Vector Machine Classifier
Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation
Hidden Space Principal Component Analysis
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning
The Lorenz Dominance Order as a Measure of Interestingness in KDD
Efficient Privacy Preserving Distributed Clustering Based on Secret Sharing
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
Preference-Based Top-k Representative Skyline Queries on Uncertain Databases
MDVAD: Multimodal Diffusion for Video Anomaly Detection
Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data
One Pass Concept Change Detection for Data Streams
Leveraging Local Interactions for Geolocating Social Media Users
Using Flexible Memories to Reduce Catastrophic Forgetting
Kernel Principal Component Analysis for Content Based Image Retrieval
Personalized Ranking Recommendation via Integrating Multiple Feedbacks
International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD 2002), in conjunction with the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8
Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings
Extracting and Explaining Biological Knowledge in Microarray Data
An Empirical Study of Personal Factors and Social Effects on Rating Prediction
Multilingual Non-factoid Question Answering with Answer Paragraph Selection
Life Activity Modeling of News Event on Twitter Using Energy Function
An Emergency System in Mobile Devices
Data Mining: Granular Computing Approach
Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings
Gated Convolutional Encoder-Decoder for Semi-supervised Affect Prediction
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network
Quality-Aware Streaming Network Embedding with Memory Refreshing
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II
Tendi: Tensor Disaggregation from Multiple Coarse Views
Protecting IP of Deep Neural Networks with Watermarking: A New Label Helps
Hierarchical Learning of Dependent Concepts for Human Activity Recognition
FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings
A Situated Information Articulation Neural Network: VSF Network
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect
Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency
Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification
Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation
Covariance and PCA for Categorical Variables
Decomposing Relational Triple Extraction with Large Language Models for Better Generalization on Unseen Data
Ubiquity of LLM Hallucinations Across Critical Domains: A Survey
In Search of Public Agenda with Text Mining: An Exploratory Study of Agenda Setting Dynamics Between the Traditional Media and Wikipedia
GroupMixNorm Layer for Learning Fair Models
A Framework for Feature Selection to Exploit Feature Group Structures
Detecting the Data Group Most Prone to a Specific Disguise Value
An EM-Approach for Clustering Multi-Instance Objects
One Shot Learning with Margin
Robust Learning of Mixture Models and Its Application on Trial Pruning for EEG Signal Analysis
Matching Product Offers of E-Shops
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior
C 2 -Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction
An Efficient Pre-processing Method to Identify Logical Components from PDF Documents
Multi-sourced Integrated Ranking with Exposure Fairness
Domain-Driven Actionable Knowledge Discovery in the Real World
A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry
Meta-learning Models for Automatic Textual Document Categorization
Evaluating Standard Techniques for Implicit Diversity
Clustering with Lower Bound on Similarity
Rule Reduction over Numerical Attributes in Decision Tree Using Multilayer Perceptron
Role Equivalence Attention for Label Propagation in Graph Neural Networks
CLUEKR : CLUstering Based Efficient k NN Regression
An Efficient Unordered Tree Kernel and Its Application to Glycan Classification
Using Social Annotations to Smooth the Language Model for IR
A New Data Mining Method Using Organizational Coevolutionary Mechanism
Myocardial Infarction Classification by Morphological Feature Extraction from Big 12-Lead ECG Data
Adversarial Text Purification: A Large Language Model Approach for Defense
A General Coding Method for Error-Correcting Output Codes
Insomnia Detection Based on Brain State Sleep Trajectories
Robust Synchronization-Based Graph Clustering
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 I
A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances
Directional Representation Encoder-Decoder for Personalized Blood Glucose Forecasting
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains
Matrix Factorization With Aggregated Observations
Fake News Detection Through Temporally Evolving User Interactions
Learn to Rank Tweets by Integrating Query-Specific Characteristics
Finding Better Topics: Features, Priors and Constraints
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Generation of Comprehensible Hypotheses from Gene Expression Data
Feature Based Techniques for Auto-Detection of Novel Email Worms
Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences
Mining Tourist Preferences with Twice-Learning
Ensembling MML Causal Discovery
Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow
A New Evolutionary Neural Network Classifier
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
Valency Based Weighted Association Rule Mining
A Vertex Similarity Probability Model for Finding Network Community Structure
The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification
How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams
Are Edge Weights in Summary Graphs Useful? - A Comparative Study
Asking Generalized Queries with Minimum Cost
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion
Discovering New Orders of the Chemical Elements through Genetic Algorithms
Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery
EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks
Evolution-Based Online Automated Machine Learning
Probabilistic Topic and Role Model for Information Diffusion in Social Network
Locally Optimized Hashing for Nearest Neighbor Search
Cost-Sensitive Classifier Evaluation Using Cost Curves
Toward Explainable Recommendation via Counterfactual Reasoning
Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Detecting Anchors' Opinion in Hinglish News Delivery
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
Using Ontology-Based User Preferences to Aggregate Rank Lists in Web Search
A Novel Indexing Method for Efficient Sequence Matching in Large DNA Database Environment
Privacy-Preserving SVM Classification on Vertically Partitioned Data
Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression
MSGE: A Multi-step Gated Model for Knowledge Graph Completion
Named Entity Recognition Using Acyclic Weighted Digraphs: A Semi-supervised Statistical Method
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Efficiently Retrieving Longest Common Route Patterns of Moving Objects By Summarizing Turning Regions
A Visual Method of Cluster Validation with Fastmap
Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators
Improving Mining Quality by Exploiting Data Dependency
Evaluating and Analyzing Reliability over Decentralized and Complex Networks
Determining Progression in Glaucoma Using Visual Fields
Quantifying Reciprocity in Large Weighted Communication Networks
CCMine: Efficient Mining of Confidence-Closed Correlated Patterns
Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data
Biclustering of Microarray Data Based on Singular Value Decomposition
sMOOD: subManifold Based Out-of-Distribution Detection
DualS-Geo: A Large-Scale Dual-Stack Landmark Mining Framework for IP Geolocation
FTCRank: Ranking Components for Building Highly Reliable Cloud Applications
TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets During a Disaster for Reaction
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings
Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models
Cluster Sequence Mining: Causal Inference with Time and Space Proximity Under Uncertainty
Packing Alignment: Alignment for Sequences of Various Length Events
A Multi-scale Recalibrated Approach for 3D Human Pose Estimation
TFAugment: A Key Frequency-Driven Data Augmentation Method for Human Activity Recognition
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting
Micro Similarity Queries in Time Series Database
IGB: A New Informative Generic Base of Association Rules
Evaluating the Impact of LLM-Manipulated Content on Fake News Detection
Detecting Changes in Rare Patterns from Data Streams
Self-training Temporal Dynamic Collaborative Filtering
Personalized EDM Subject Generation via Co-factored User-Subject Embedding
Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
Subsequence Matching of Stream Synopses under the Time Warping Distance
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors
Prioritizing Disease Genes by Bi-Random Walk
Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows
ListOPT: Learning to Optimize for XML Ranking
Rule Injection-Based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning
Image Classification and Segmentation for Densely Packed Aggregates
Rule Extraction from Trained Support Vector Machines
Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information