yusuke1997/dblp-id-title huggingface dataset:
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism
Improving the Efficiency of Interactive Sequential Pattern Mining by Closed Pattern Discovery
Building a Text Classifier by a Keyword and Wikipedia Knowledge
From Complex Network to Skeleton: m⃗ j⃗ -Modified Topology Potential for Node Importance Identification
Using Gap-Insensitive String Kernel to Detect Masquerading
On Group Theory and Interpretable Time Series Primitives
MFMGC: A Multi-modal Data Fusion Model for Movie Genre Classification
Using the Strongest Adversarial Example to Alleviate Robust Overfitting
MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns
PViT: Pooling Vision Transformer for Active Trachoma Image Classification
Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation
An Empirical Study on Human Flying Imagery Using EEG
OPMUS: A Win-Win Pricing Strategy for Machine Unlearning Service
Bichromatic Reverse Ranking Query in Two Dimensions
Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases
A Novel P2P Information Clustering and Retrieval Mechanism
On Improving Random Forest for Hard-to-Classify Records
A False Negative Maximal Frequent Itemset Mining Algorithm over Stream
Combating Link Spam by Noisy Link Analysis
A Causality Driven Approach to Adverse Drug Reactions Detection in Tweets
SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning
A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition
CD-BNN: Causal Discovery with Bayesian Neural Network
Virus Propagation and Immunization Strategies in Email Networks
The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining
Joint Multi-level Attention and Consistency Aligned for Multimodal Emotion Recognition Based on Physiological Signals
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning
Sentiment Analysis for Depression Detection on Social Networks
Low-Light Image Enhancement with Color Transfer Based on Local Statistical Feature
Keyword Graph: Answering Keyword Search over Large Graphs
StruClus: Scalable Structural Graph Set Clustering with Representative Sampling
Read Then Respond: Multi-granularity Grounding Prediction for Knowledge-Grounded Dialogue Generation
UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition
Mining Standard Land Price with Tension Spline Function
Using PCA to Predict Customer Churn in Telecommunication Dataset
Application of Weighted K-Means Decision Cluster Classifier in the Recognition of Infectious Expressions of Primary School Students Reading
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees
A Large-Scale Analysis of Privacy Labels in Child-Accessible Mobile Applications
Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
Towards Unified Spatio-Temporal Index for Hybrid Trajectory Search
Efficient Size-Constrained (k, d)-Truss Community Search
Improving Cytogenetic Search with GPUs Using Different String Matching Schemes
Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification
Detection Method of User Behavior Transition on Computer
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II
In-Depth Data Mining and Its Application in Stock Market
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part II
A Parallel Hierarchical Agglomerative Clustering Technique for Billingual Corpora Based on Reduced Terms with Automatic Weight Optimization
Intra and Inter-User Data Augmentation Methods for Energy Disaggregation
Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure
A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification
An Algorithm for Available Bandwidth Estimation of IPv6 Network
Web Scale Competitor Discovery Using Mutual Information
Modeling Information-Sharing Behaviors in BitTorrent System Based on Real Measurement
On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm
A Privacy Preserving Method for Trajectory Data Publishing Based on Geo-Indistinguishability
ZeroRFF: A Random Fourier Features and Analytic Learning Method for Generalized Class Incremental Learning
Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm
TOP-R Keyword-Aware Community Search
ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers
Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation
Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces
Comparison of Data Pre-processing in Pattern Recognition of Milk Powder Vis/NIR Spectra
Using Data Mining Methods to Predict Personally Identifiable Information in Emails
Boolean Spatial Temporal Text Keyword Skyline Query
Hiding Sensitive Associative Classification Rule by Data Reduction
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV
Online Community Identification over Heterogeneous Attributed Directed Graphs
eDARA: Ensembles DARA
A Scalable Approach for General Correlation Clustering
A Player Behavior Model for Predicting Win-Loss Outcome in MOBA Games
Graph Attention-Based Multi-head Voting Strategy for Unsupervised Ranking in Medication Recommendation
A Semi-supervised Clustering Algorithm Based on Must-Link Set
Unsupervised Feature Selection for Noisy Data
AttRel: Single Module Based Joint Entity and Relation Extraction with Attention Enhanced Text Embedding
Dynamic Service Knowledge Base Construction at WeChat
A Secure Protocol to Maintain Data Privacy in Data Mining
FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits
Structure-Aware Style Transfer Based on Multi-Scale and Edge Texture
Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models
Outlier Detection Based on Voronoi Diagram
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
Enhancing Text Categorization Using Sentence Semantics
Supervised Contrastive Learning for Product Classification
WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data
Cross Product and Attention Based Deep Neural Collaborative Filtering
STA: Enhancing Spatio-temporal Crowd Flow Prediction Using Attention-based Deep Learning and Feature Similarity
A New Computational Framework for Gene Expression Clustering
Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction
An Efficient Method for Outlying Aspect Mining Based on Genetic Algorithm
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II
Cardiovascular Disease Diagnosis Method by Emerging Patterns
Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement
An Automatic Unsupervised Method Based on Context-Sensitive Spectral Angle Mapper for Change Detection of Remote Sensing Images
Clique Percolation Method: Memory Efficient Almost Exact Communities
Spam Email Categorization with NLP and Using Federated Deep Learning
Recommending Features of Mobile Applications for Developer
Medical Image Retrieval Method Based on Relevance Feedback
Facial Action Unit and Emotion Recognition with Head Pose Variations
Learning Bayesian Networks Structure with Continuous Variables
Enhancing Network Intrusion Detection with VAE-GNN
Mining Uncertain Sentences with Multiple Instance Learning
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data
A New Fuzzy Co-clustering Algorithm for Categorization of Datasets with Overlapping Clusters
Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution
An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms
Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning
Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem
A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
A Bag-of-Tones Model with MFCC Features for Musical Genre Classification
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I
MLCA: A Multi-label Competency Analysis Method Based on Deep Neural Network
Identification of Interface Residues Involved in Protein-Protein Interactions Using Naïve Bayes Classifier
The Application of Adaptive Partitioned Random Search in Feature Selection Problem
A Clustering Approach Using Weighted Similarity Majority Margins
Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques
A Reputation-Enhanced Recommender System
High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning
A New Method for Linear Ill-Posed Problems: Iteration Method by Rectifying Eigenvalue
People-Centric Mobile Crowdsensing Platform for Urban Design
An LLM Agent-Based Complex Semantic Table Annotation Approach
Invariance Matters: Person Re-identification by Local Color Transfer
Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs
A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines
Anomaly Detection with Changing Cluster Centers
Mining Temporal Structures for Emotion Recognition in Conversation via a Temporal-Aware Attention Network
A Semi-supervised Topic-Driven Approach for Clustering Textual Answers to Survey Questions
An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm
SS-AOE: Subspace Based Classification Framework for Avoiding Over-Confidence Errors
A Structure-Based XML Storage Method in YAFFS File System
Spatiotemporal Crime Hotspots Analysis and Crime Occurrence Prediction
Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction
Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering
Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis
DMGrid: A Data Mining System Based on Grid Computing
Logistic Regression for Transductive Transfer Learning from Multiple Sources
An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions
Active Multi-label Learning with Optimal Label Subset Selection
SemantiHunt: A New Behavioral Semantics-Driven Method for Network Threat Hunting
Block Nested Join and Sort Merge Join Algorithms: An Empirical Evaluation
From Machine Learning to Child Learning
CBR-Based Knowledge Discovery on Results of Evolutionary Design of Logic Circuits
Mining ε-Closed High Utility Co-location Patterns from Spatial Data
Learning Concise Relax NG Schemas Supporting Interleaving from XML Documents
Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints
Retrieval in CBR Using a Combination of Similarity and Association Knowledge
FXProj - A Fuzzy XML Documents Projected Clustering Based on Structure and Content
An Approach to Compressed Image Retrieval Based on JPEG2000 Framework
Encrypted Traffic Classification Using Graph Convolutional Networks
The Research on the User Experience of E-Commercial Website Based on User Subdivision
Research on Query-by-Committee Method of Active Learning and Application
Effective Feature Preprocessing for Time Series Forecasting
Mining Spatial Association Rules with Multi-relational Approach
Investigating Sequential Patterns of DNS Usage and Its Applications
A Knowledge Enabled Data Management Method Towards Intelligent Police Applications
SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas
Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part IV
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points
Multi-region Quality Assessment Based on Spatial-Temporal Community Detection from Computed Tomography Images
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction
CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition
A Comparative Study of Question Answering over Knowledge Bases
NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment
SUMOPE: Enhanced Hierarchical Summarization Model for Long Texts
Predicting Network Threat Events Using HMM Ensembles
Confidence-Weighted Bipartite Ranking
Dominance Maximization in Uncertain Graphs
DELAY : A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
Crawling Deep Web Using a New Set Covering Algorithm
A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset
Empowering Comprehensive Biomedical Information Analysis with Large Language Models
Global Recursive Based Node Importance Evaluation
Detecting Spammers with Changing Strategies via a Transfer Distance Learning Method
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
Negative Generator Border for Effective Pattern Maintenance
User Subjectivity in Change Modeling of Streaming Itemsets
Difference Factor' KNN Collaborative Filtering Recommendation Algorithm
Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease
A Clustering Algorithm FCM-ACO for Supplier Base Management
A Hybrid Model for Demand Forecasting Based on the Combination of Statistical and Machine Learning Methods
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
Multi-teacher Local Semantic Distillation from Graph Neural Networks
Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part II
Comparison of Different Methods to Fuse Theos Images
Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN
MFIS-Mining Frequent Itemsets on Data Streams
A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging
Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon
Cluster Based Symbolic Representation and Feature Selection for Text Classification
DGRL: Text Classification with Deep Graph Residual Learning
Location-Aware Human Activity Recognition
Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications
Sparse Boosting with Correlation Based Penalty
Forecasting the Volatility of Stock Price Index
Influence Maximization with Tag Revisited: Exploiting the Bi-submodularity of the Tag-Based Influence Function
Similarity Evaluation of XML Documents Based on Weighted Element Tree Model
Keeping Track of Customer Life Cycle to Build Customer Relationship
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
HHP: A Hybrid Partitioner for Large-Scale Hypergraph
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs
Increasing the Meaningful Use of Electronic Medical Records: A Localized Health Level 7 Clinical Document Architecture System
3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation
WDA: A Domain-Aware Database Schema Analysis for Improving OBDA-Based Event Log Extractions
Real-Time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features
Efficient Revenue Maximization for Viral Marketing in Social Networks
Image Emotional Classification Based on Color Semantic Description
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting
Game Achievement Analysis: Process Mining Approach
Application of the Cross-Entropy Method to Dual Lagrange Support Vector Machine
Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor
Enhancing Knowledge-Aware Recommendation with Contrastive Learning
Profit Maximization Using Social Networks in Two-Phase Setting
ResGAT: Embedding Adjacent Connectivity of Brain Regions from fMRI for Accurate Parkinson's Disease Recognition
VLS: A Reinforcement Learning-Based Value Lookahead Strategy for Multi-product Order Fulfillment
A Unified Strategy of Feature Selection
A New Fuzzy Extreme Learning Machine for Regression Problems with Outliers or Noises
Diffusion-Driven Dual-Level Denoising: Identifying and Mitigating Noisy Implicit Feedback for Knowledge Tracing
Privacy Preserving DBSCAN Algorithm for Clustering
Use of Supervised Learning to Predict Directionality of Links in a Network
DSDCS: Detection of Safe Driving via Crowd Sensing
Digits Speech Recognition Based on Geometrical Learning
Discovering Group Skylines with Constraints by Early Candidate Pruning
Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging
Exploring Content and Linkage Structures for Searching Relevant Web Pages
A Further Study on Inverse Frequent Set Mining
Accurate and Fast Dynamic Time Warping
Group Trip Planning Queries on Road Networks Using Geo-Tagged Textual Information
NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets
Label-Value Extraction from Documents Using Co-SSL Framework
Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm
VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams
A Multi-View Framework for Fake News Detection Utilizing Dynamic User Propagation Structures, Temporal Changes, and Personal Attributes
Event Extraction with Deep Contextualized Word Representation and Multi-attention Layer
Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V
A Novel Clustering Algorithm Based on Gravity and Cluster Merging
Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data
WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA
Extracting the Representative Failure Executions via Clustering Analysis Based on Markov Profile Model
Generating Tags for Service Reviews
Routing Attribute Data Mining Based on Rough Set Theory
A Novel Historical-Meteorology-Informed Approach for One-Week Air Quality Forecasting
Automatic Web Tagging and Person Tagging Using Language Models
P 2 S-Sketch: A Sketch Family for Priority-Aware Per-Flow Spread Measurement in Network Data Stream
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction
A Multimodal Classification Architecture Applied to Gait Anomaly Detection for the Elderly
Rice Leaf Diseases Recognition Using Convolutional Neural Networks
MANet: An End-To-End Multiple Attention Network for Extracting Roads Around EHV Transmission Lines from High-Resolution Remote Sensing Images
Hybrid Feature Ranking for Proteins Classification
Enhancing Financial Market Predictions: Causality-Driven Feature Selection
Detect Tracking Behavior Among Trajectory Data
Evolutionary Strategy for Graph Embedding
Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation
Fair Recommendations Through Diversity Promotion
Interrelationships of Service Orchestrations
Constrained Closed Non Derivable Data Cubes
TIGAN: Trajectory Imputation via Generative Adversarial Network
Dynamic Shape Modeling of Consumers' Daily Load Based on Data Mining
A Novel Unsupervised Time Series Discord Detection Algorithm in Aircraft Engine Gearbox
A Fast Implementation of the EM Algorithm for Mixture of Multinomials
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification
Terrorist Organization Behavior Prediction Algorithm Based on Context Subspace
Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs
Tree-Based Mining for Discovering Patterns of Reposting Behavior in Microblog
Zero-Shot Character Recognition Method of Korean Ancient Documents Based on the Chinese and Korean Characters Unified IDS Encoding
Tourists Profiling by Interest Analysis
A Label Propagation-Based Algorithm for Community Discovery in Online Social Networks
Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks
Subspace-Weighted Consensus Clustering for High-Dimensional Data
Naïve Bayesian Tree Pruning by Local Accuracy Estimation
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments
A Solution to Tweet-Based User Identification Across Online Social Networks
A Learning Method of Detecting Anomalous Pedestrian
Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition
A Probabilistic Topic Model with Social Tags for Query Reformulation in Informational Search
An Analysis of Missing Data Treatment Methods and Their Application to Health Care Dataset
A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks
A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks
The Spontaneous Behavior in Extreme Events: A Clustering-Based Quantitative Analysis
LE-NER: A Chinese NER Model Based on Lexical Enhancement
Enhanced Discriminant Sparse Feature Extraction for Image Classification
A Bag Reconstruction Method for Multiple Instance Classification and Group Record Linkage
Fast Fourier Transform Diffusion Model for ECG Denoising
Fraud Detection in B2B Platforms Using Data Mining Techniques
A Graph Enrichment Based Clustering over Vertically Partitioned Data
A Top-Down Approach for Hierarchical Cluster Exploration by Visualization
The Infinite Polynomial Kernel for Support Vector Machine
ECG Signal Classification with a Multi-stage Model Integrating CNN, SNN, and ResNet
A Hybrid Algorithm for Privacy Preserving Social Network Publication
Enhancing Wind Speed and Direction Prediction with a Mean Squared Error Neural Network
A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction
Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining
TARARec: Two-Stage Augmented Retrieval and Alignment for Recommendation Leveraging Large Language Models
RT-DETR+DL Intelligent Diagnosis Model for Brain Tumors Based on MRI Influence Recognition
A Combination Classification Algorithm Based on Outlier Detection and C4.5
Privacy Preserving Naive Bayes Classification
Scalable Nonlinear Mappings for Classifying Large Sparse Data
RankRRG: A Rank-Aware Framework for Automated Radiology Report Generation
SKETMM: An Aspect-Level Sentiment Classification Approach to Sentiment Knowledge-Enhanced Text Mining Model
Enhancing Unsupervised Anomaly Detection in Multivariate Time Series with Variational Autoencoders and Multiresolution LSTM
TSCMR:Two-Stage Cross-Modal Retrieval
MEMI-DS: A Benchmark Melasma Image Dataset for Image Segmentation
Effective Comment Sentence Recognition for Feature-Based Opinion Mining
Android Malware Detection Based on Stacking and Multi-feature Fusion
A Network Information Hiding Method Against Link Prediction
New Contrastive Learning Method Using Embedding Space Data Augmented for Sequence Recommendation
Mining Uncertain Data Streams Using Clustering Feature Decision Trees
Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts
Location Data Anonymization Retaining Data Mining Utilization