yusuke1997/dblp-id-title huggingface dataset:
An Efficient Multi-request Route Planning Framework Based on Grid Index and Heuristic Function
A Huffman Tree-Based Algorithm for Clustering Documents
A Chinese Inter-sentence Relation Extraction Approach Based on Cascading Pointer Network
Base Vector Selection for Kernel Matching Pursuit
Rough Sets in Hybrid Soft Computing Systems
Harnessing Deep LLM Participation for Robust Entity Linking
Refine the Corpora Based on Document Manifold
Application of Oversampling Techniques Under Neyman-Pearson Paradigm on Credit Card Fraud Detection
Research on Short-Term Traffic Flow Forecasting Based on KNN and Discrete Event Simulation
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets
AOG-ags Algorithms and Applications
Change Itemset Mining in Data Streams
Sentiment Analysis of Tweets Using Deep Learning
Mining Ambiguous Data with Multi-instance Multi-label Representation
Verifiable Graph-Based Approximate Nearest Neighbor Search
Research on Map Matching Based on Hidden Markov Model
ATextCNN Model: A New Multi-classification Method for Police Situation
Intrinsic Dimension Induced Similarity Measure for Clustering
A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier
New Developments of Determinacy Analysis
Incrementally Updating High-Utility Itemsets with Transaction Insertion
Topic-Constrained Hierarchical Clustering for Document Datasets
Partitioning Clustering Based on Support Vector Ranking
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media
Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition
Personal Health Index Based on Residential Health Examination
A Feature Selection Method for Improved Document Classification
Small Is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming
Software Clustering Using Automated Feature Subset Selection
Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II
Real-Time Person Tracking Based on Data Field
Merging Decision Trees: A Case Study in Predicting Student Performance
Optimizing Recreation in Yellow River Mouth Park Based on Reference-Dependent Analysis
A New Support Vector Machine for Data Mining
A Fast Fuzzy Clustering Algorithm for Large-Scale Datasets
Learning from Multiple Naive Annotators
Mining Compressed Sequential Patterns
A Genetic k -Modes Algorithm for Clustering Categorical Data
Similar Group Finding Algorithm Based on Temporal Subgraph Matching
A Scalable Document-Based Architecture for Text Analysis
Anomaly Detection Representation Learning Framework Towards Mixed Time Series with Scalable Multivariate Fusion
Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules
An Ensemble Approach to Multi-label Classification of Textual Data
Tuser 3 : A Profile Matching Based Algorithm Across Three Heterogeneous Social Networks
Effective Traffic Flow Forecasting Using Taxi and Weather Data
Kernel Based K-Medoids for Clustering Data with Uncertainty
Gene Selection for Cancer Classification Using DCA
Strategic Reading Skills Work: Perceiving Locally and then Reasoning Globally Improves Emotion Recognition
Decision Making with Uncertainty and Data Mining
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
Link Prediction Based on Enclosing Triadic Subgraphs
Soft-Label Guided Composed Image Retrieval Based on Modified Semantic Text Encoder
Using Latent Class Models for Neighbors Selection in Collaborative Filtering
Cube Based Summaries of Large Association Rule Sets
AAP: Defending Against Website Fingerprinting Through Burst Obfuscation
Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings
Efficient kNN Algorithm Based on Graph Sparse Reconstruction
HisRec: Bridging Heterogeneous Information Spaces for Recommendation via Attentive Embedding
COEA: An Efficient Method for Entity Alignment in Online Encyclopedias
A Novel Text Classification Approach Based on Enhanced Association Rule
Link-Contexts for Ranking
A Consensus Recommender for Web Users
TKS: Efficient Mining of Top-K Sequential Patterns
Continual Drift Detection and Adaptation for Cybersecurity Applications
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy
Efficient Size-Constrained Community Search over Directed Graphs
Conspiracy Spoofing Orders Detection with Transformer-Based Deep Graph Learning
Convolution Neural Network for Relation Extraction
Graph Contrastive Learning with Hybrid Noise Augmentation for Recommendation
Implicit Sentiment Extraction Using Structure Generation with Sentiment Instructor Prompt Template
Online Aggregated-Event Representation for Multiple Event Detection in Videos
Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model
A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems
Iterative Encode-and-Decode Graph Neural Network
Advanced Data Mining and Applications - 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings
An Anti-fraud Framework for Medical Insurance Based on Deep Learning
Power Equipment Fault Diagnosis Model Based on Deep Transfer Learning with Balanced Distribution Adaptation
Doctoral Advisor or Medical Condition: Towards Entity-Specific Rankings of Knowledge Base Properties
The Research on Fuzzy Data Mining Applied on Browser Records
Maintaining Moving Sums over Data Streams
Discernibility Matrix Enriching and Boolean-And Algorithm for Attributes Reduction
AWSum - Data Mining for Insight
Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization
Mining Top-n Local Outliers in Constrained Spatial Networks
RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome
Research on Time Series Forecasting Model Based on Moore Automata
Medical Clinic Revenue Prediction Using Latent Feature Extraction from Satellite Imagery with Large Multimodal Models
Community Detection in Temporal Biological Metabolic Networks Based on Semi-NMF Method with Node Similarity Fusion
Mining Frequent Patterns in Print Logs with Semantically Alternative Labels
KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs
Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets
Accelerating Minimum Temporal Paths Query Based on Dynamic Programming
Semantic-Integrated Online Audit Log Reduction for Efficient Forensic Analysis
Tourist Route Recommendation Considering Heat Safety
A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs
A Distributed SAT-Based Framework for Closed Frequent Itemset Mining
A Spatial Clustering Algorithm Based on SOFM
Towards Geological Knowledge Discovery Using Vector-Based Semantic Similarity
Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs
Efficient Deep Learning Algorithm with Accelerating Inference Strategy
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework
Bayesian Network Structure Ensemble Learning
Vertex Unique Labelled Subgraph Mining for Vertex Label Classification
Online New Event Detection Based on IPLSA
An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns
Advanced Data Mining and Applications - 14th International Conference, ADMA 2018, Nanjing, China, November 16-18, 2018, Proceedings
PoseMaster: Editing Your Pose in a Video with a One-Shot Framework
Combining Multiple Clusterings Via k-Modes Algorithm
Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation
FSKD: Detecting Fake News with Few-Shot Knowledge Distillation
XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
Short Text Understanding Based on Conceptual and Semantic Enrichment
Mining Social Networks for Dissemination of Fake News Using Continuous Opinion-Based Hybrid Model
CDGM: Controllable Dataset Generation Method for Cybersecurity
Maintaining the Maximum Normalized Mean and Applications in Data Stream Mining
HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty
TF-RCA: Fine-Grained Root Cause Analysis of Microservice via Time-Frequency Fusion and Prediction-Aware Causality
Adaptive Multimodal Transformer for Personality Trait Assessment in Online Job Interviews
Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks
Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features
Making Use of External Company Data to Improve the Classification of Bank Transactions
Top-N Hashtag Prediction via Coupling Social Influence and Homophily
Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method
Improving Real-Time Bidding Using a Constrained Markov Decision Process
HierArchical-Grid CluStering Based on DaTA Field in Time-Series and the Influence of the First-Order Partial Derivative Potential Value for the ARIMA-Model
Cardinality Estimation of Subgraph Search Queries with Direction Learner
Learning Semantic User Profiles from Text
Automatic Image Registration via Clustering and Convex Hull Vertices Matching
Investigation of Damage Identification of 16Mn Steel Based on Artificial Neural Networks and Data Fusion Techniques in Tensile Test
Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique
APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags
STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship
FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection
Breast Cancer Histopathology Image Classification Using Frequency Attention Convolution Network
Nodes Deployment Optimization Algorithm Based on Fuzzy Data Fusion Model in Wireless Sensor Networks
A Knowledge-Enhanced Inferential Network for Cross-Modality Multi-hop VQA
Mining the Useful Skyline Set Based on the Acceptable Difference
Document-Level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks
Applying Fuzzy Neural Network to Intrusion Detection Based on Sequences of System Calls
Tools and Infrastructure for Supporting Enterprise Knowledge Graphs
Nearest Neighbour Distance Matrix Classification
Web Mining Accelerated with In-Memory and Column Store Technology
PS-QMix: A Parallel Learning Framework for Q-Mix Using Parameter Server
Adaptive Incremental Provenance Analysis for Trustworthy Federated Learning
Tailored Federated Learning: Leveraging Direction Regulation and Knowledge Distillation
A Graph Transformer with Local Mixed Filter
Domain Adaptive Pre-trained Model for Mushroom Image Classification
EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System
A New Graph-Partitioning Algorithm for Large-Scale Knowledge Graph
Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study
Improved Spectral Clustering Algorithm Based on Similarity Measure
Emergency Entity and Relationship Extraction Based on a Multimodal Deep Learning Method
Edge Classification on Imbalanced Multi-relational Graphs
A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy
Study on Ensemble Classification Methods towards Spam Filtering
Query-Based Recommendation by HIN Embedding with PRE-LSTM
Alternative Statistical Inference for the First Normalized Incomplete Moment
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I
Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts
Audiovisual Integration for Racquet Sports Video Retrieval
Effects of Dynamic Subspacing in Random Forest
An Ontology-Based Framework Model for Trustworthy Software Evolution
Adaptive Confidence Estimation for Data Distribution Shift Robustness in Cloud-Edge Collaborative Inference
WALK: A Workload-Aware Learned Kd-Tree
Clustering Method for Touristic Photographic Spots Recommendation
MDCN: Multi-scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection
A Multi-descriptor Stacking-Based Framework for Parkinson's Disease Detection from Handwriting
MMSA-DTA: Multi-modal Synergistic Attention for Drug-Target Affinity Prediction
Supervised Discriminative Discrete Hashing for Cross-Modal Retrieval
M 2 HGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning
Privacy-Preserving Data Mining in Presence of Covert Adversaries
A Context-Aware Computing Method of Sentence Similarity Based on Frame Semantics
Learning Knowledge Representation with Entity Concept Information
A New Multi-label Learning Algorithm Using Shelly Neighbors
ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining
Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks
Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging
Adaptive Plug-and-Play Framework for Time Series Anomaly Detection with Temporal Drift
Double-Optimized CS-BP Anomaly Prediction for Control Operation Data
A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content - Based Image Retrieval
Possibilistic Information Retrieval Model Based on a Multi-terminology
Persistent Community Search Over Temporal Bipartite Graphs
Deep Contrastive Multi-view Clustering Under Semantic Feature Guidance
Dominance-Based Soft Set Approach in Decision-Making Analysis
Using Boosting Learning Method for Intrusion Detection
Open Text Classification Based on Dynamic Boundary Balance
Entity Recognition by Distant Supervision with Soft List Constraint
An Airport Scene Delay Prediction Method Based on LSTM
Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning
RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images
Multimodal Learning for Automatic Summarization: A Survey
HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism
Mining Summary of Short Text with Centroid Similarity Distance
Protocol Specification Inference Based on Keywords Identification
An Improved KNN Based Outlier Detection Algorithm for Large Datasets
Towards Adaptive Context Management for Intelligent Conversational Question Answering
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms
Optimizing MobileNetV2 Architecture Using Split Input and Layer Replications for 3D Face Recognition Task
Rewriting XPath Expressions Depending on Path Summary
Advanced Data Mining and Applications, First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings
Towards Positive Unlabeled Learning for Parallel Data Mining: A Random Forest Framework
SAME: Sampling Attack in Multiplex Network Embedding
Social Influence Modeling on Smartphone Usage
A System for Querying and Analyzing Urban Regions
Improving Suffix Tree Clustering with New Ranking and Similarity Measures
Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation
Customer Churn Prediction Using Improved One-Class Support Vector Machine
FedCLF - Towards Efficient Participant Selection for Federated Learning in Heterogeneous IoV Networks
PiqSketch: An Efficient Sketching Algorithm for Per-Key Tail Quantile Estimation in Large-Scale Data Streams
CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning
Relations Reconstruction in a Knowledge Graph of a Socioeconomic System
Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning
Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V
Trajectories Mining for Traffic Condition Renewing
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I
Customer Churn Prediction by Hybrid Model
Prediction-Based, Prioritized Market-Share Insight Extraction
Tracking Drift Types in Changing Data Streams
Mining Spatial-temporal Clusters from Geo-databases
Secure Computation of Skyline Query in MapReduce
MoleNovo: A Casanovo-Based De Novo Molecular Generation Framework
A Data-Driven Framework for Identifying Abnormal Status in Natural Gas Wells
Community Enhanced Record Linkage Method for Vehicle Insurance System
Profiling Fake News: Learning the Semantics and Characterisation of Misinformation
A Trust Management-Based Route Planning Scheme in LBS Network
An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission
CrossFM: Cross-City Fine-Grained Urban Flow Inference with Incomplete Data
CommTracker: A Core-Based Algorithm of Tracking Community Evolution
Searching User Community and Attribute Location Cluster in Location-Based Social Networks
Aspect-Based Sentiment Analysis via BERT and Multi-scale CBAM
Complex Networks and Networked Data Mining
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach
Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS
Weigted-FP-Tree Based XML Query Pattern Mining
Program Verification by Reachability Searching over Dynamic Call Tree
Data Mining in Tourism Demand Analysis: A Retrospective Analysis
Classification of Kinetic-Related Injury in Hospital Triage Data Using NLP
A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity
Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs
Sequential Recommendation with Diverse Supervised Contrastive Views
An Interest-Based Clustering Method for Web Information Visualization
A Higher-Fidelity Frugal Quantile Estimator
GKF-mQA: Generative Knowledge Fusion Based on Large Language Models for Enhancing Medical Question Answering
CCE: A Chinese Concept Encyclopedia Incorporating the Expert-Edited Chinese Concept Dictionary with Online Cyclopedias
A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy
A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases
An Interactive Web-Based Toolset for Knowledge Discovery from Short Text Log Data
A k -Anonymity Clustering Method for Effective Data Privacy Preservation
Factor Analysis of E-business in Skill-Based Strategic Collaboration
Relevance of Counting in Data Mining Tasks
FairEquityFL - A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
Chinese Sign Language Identification via Wavelet Entropy and Support Vector Machine
Mining Source Code Topics Through Topic Model and Words Embedding
AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining
Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links
Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search
Secure Privacy-Preserving SMOTE for Vertical Federated Learning
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Nearest Neighbor Tour Circuit Encryption Algorithm Based Random Isomap Reduction
Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Dalian, China, November 21-23, 2019, Proceedings
From Roads to Lights: Satellite Evidence on Smart City Planning
Fingerprint Image Segmentation Based on Gaussian-Hermite Moments
Finding Time Series Discords Based on Haar Transform
Detecting Fetal Growth Restriction in Early Pregnancy
Clusterwise Representation Learning for Robust Battery Anomaly Detection
Emerging Trends in Knowledge Tracing Models: A Technical Survey from 2022 to 2025
Automatic Filtering of Valuable Features for Text Categorization
Advanced Data Mining and Applications - 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014. Proceedings
SSL-MSTFNet: A Multi-scale Temporal-Spectral Fusion Network with Self-supervision Learning for Sleep Stage Classification
Graph Based Feature Augmentation for Short and Sparse Text Classification
A Fuzzy Subspace Algorithm for Clustering High Dimensional Data
Enhancing IoT Security: Hybrid Machine Learning Approach for IoT Attack Detection
Deduplication Over Heterogeneous Attribute Types (D-HAT)
A Perceptron-Like Linear Supervised Algorithm for Text Classification
Content-Based News Video Mining
Quantifying Character Prominence in Movie Posters Using an Interpretable Hybrid Model
Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors
STIP: A Seasonal Trend Integrated Predictor for Blood Glucose Level in Time Series
Mining Supplemental Frequent Patterns
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Popular Songs: The Sentiment Surrounding the Conversation
Application of BERT-GraphSAGE Model in Text and Paper Classification Tasks
Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction
FastNER: Speeding up Inferences for Named Entity Recognition Tasks
Sentence-Level Event Detection Without Triggers via Prompt Learning and Machine Reading Comprehension
Forecasting Electricity Market Price Spikes Based on Bayesian Expert with Support Vector Machines
Graph Data Understanding and Interpretation Enabled by Large Language Models
On Probabilistic Models for Uncertain Sequential Pattern Mining
A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction
Modeling of the Digital Class-D Amplifier Based on Deep Double Feedback Elman Neural Network
Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer's Disease
ACT-CF: A Plus Version of Traditional Reliable Collaborative Filtering Recommendation Activated by Large Language Model
An Effective Approach for Identifying Evolving Three-Dimensional Structural Motifs in Protein Folding Data
Real-Time Event Detection Based on Geo Extraction and Temporal Analysis
kNN Algorithm with Data-Driven k Value
SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization
Discovering Spatially Contiguous Clusters in Multivariate Geostatistical Data Through Spectral Clustering
Document-Level Sentiment Classification Based on Behavior-Knowledge Space Method
A Neighbor-Aware Group Recommendation Algorithm
Improvement on the Approximation Bound for Fuzzy-Neural Networks Clustering Method with Gaussian Membership Function
A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets
Alternating Aggregation Low-Rank Adaptation Approach for Federated Large Models
TS-MVP: Time-Series Representation Learning by Multi-view Prototypical Contrastive Learning
Mining Maximal Sequential Patterns without Candidate Maintenance
Predicting Defect Priority Based on Neural Networks
Classification Techniques for Talent Forecasting in Human Resource Management
Mining E-Commerce Feedback Comments for Dimension Rating Profiles
A Data-Driven Framework for Driving Style Classification
Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning
Dimensionality Reduction for Classification