yusuke1997/dblp-id-title huggingface dataset:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
Scalable Sparse Bayesian Network Learning for Spatial Applications
webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log Data
Viral Marketing for Multiple Products
Class-Specific Explainability for Deep Time Series Classifiers
WiFIsViz: Effective Visualization of Frequent Itemsets
Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling
PPSF: An Open-Source Privacy-Preserving and Security Mining Framework
Efficient and Scalable Information Geometry Metric Learning
Background Check: A General Technique to Build More Reliable and Versatile Classifiers
Multi-touch Attribution in Online Advertising with Survival Theory
Using Boosting to Simplify Classification Models
Interpreting Traffic Congestion Using Fundamental Diagrams and Probabilistic Graphical Modeling
Scalable Audience Reach Estimation in Real-Time Online Advertising
Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
Multiple Kernel Learning Clustering with an Application to Malware
A Semi-Supervised AUC Optimization Method with Generative Models
Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews
Instability of Classifiers on Categorical Data
Estimation System of People's Freindship and Hierarchical Relationship from Sentence Types
Detecting Spam and Promoting Campaigns in the Twitter Social Network
Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm
Anomaly Detection and Interpretation from Tabular Data Using Transformer Architecture
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework
Model Cloaking against Gradient Leakage
Incorporating Spatio-Temporal Smoothness for Air Quality Inference
A Self-Organizing Map with Expanding Force for Data Clustering and Visualization
A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models
The Convergence Behavior of Naive Bayes on Large Sparse Datasets
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations
Interpretable Word Embeddings for Medical Domain
Cluster-Based Sorted Neighborhood for Efficient Duplicate Detection
Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas
An Information Theoretic Approach to Detection of Minority Subsets in Database
Finding Time-Critical Responses for Information Seeking in Social Media
Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions
Compound Classification Models for Recommender Systems
A Knowledge Management Platform for Optimization-based Data Mining
An Approach for Data Publishing with Sensitive Attribute Synthesis
Clustered Lifelong Learning Via Representative Task Selection
Hide and Mine in Strings: Hardness and Algorithms
Robust Time-Referenced Segmentation of Moving Object Trajectories
iSAX 2.0: Indexing and Mining One Billion Time Series
Mining Predictive Redescriptions with Trees
Long Tail Query Enrichment for Semantic Job Search
Estimating Contextual Relationships of Stakeholders in Scenarios Using DBpedia
Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets
A New Multi-task Learning Method for Personalized Activity Recognition
HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware
Understanding Climate Change Patterns with Multivariate Geovisualization
TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model
SMILE: A Similarity-Based Approach for Multiple Instance Learning
Distance Measures for Effective Clustering of ARIMA Time-Series
Quantitative Association Analysis Using Tree Hierarchies
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients
Inside the Atoms: Mining a Network of Networks and Beyond
High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing
Visually Mining Web User Clickpaths
Time Series Segmentation for Context Recognition in Mobile Devices
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
Towards Automatic Pharmacovigilance: Analysing Patient Reviews and Sentiment on Oncological Drugs
Chinese Microblog Sentiment Classification Based on Deep Belief Nets with Extended Multi-Modality Features
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
On Using Clustering for the Optimization of Hydrological Simulations
An Effective Approach to Inverse Frequent Set Mining
SGD Biased towards Early Important Samples for Efficient Training
Human-Centered Evaluation of XAI Methods
Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
CC-GNN: A Community and Contraction-based Graph Neural Network
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach
Prism: A Primal-Encoding Approach for Frequent Sequence Mining
Integrating Customer Value Considerations into Predictive Modeling
RankTopic: Ranking Based Topic Modeling
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure
Information Services and Middleware for the Coastal Sensor Web
Efficient Sketching Algorithm for Sparse Binary Data
GADIN: Generative Adversarial Denoise Imputation Network for Incomplete Data
Dispersion Based Similarity for Mining Similar Papers in Citation Network
Hybrid Pre-Query Term Expansion using Latent Semantic Analysis
A Clustering Method for Very Large Mixed Data Sets
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
FastFlow: AI for Fast Urban Wind Velocity Prediction
Curvature Maxima-based Trajectories Mining
Exploring the Effect of Household Structure in Historical Record Linkage of Early 1900s Ireland Census Records
Improving Mental Disorder Predictions using Feature-Based Machine Learning Techninques
Kennard-Stone Balance Algorithm for Time-series Big Data Stream Mining
Large-Scale Embedding Learning in Heterogeneous Event Data
Hard Anomaly Detection: An Adversarial Data Augmentation Solution
Out-of-Sample Error Estimation: The Blessing of High Dimensionality
BIG-ALIGN: Fast Bipartite Graph Alignment
Bayesian Co-clustering
Robust Network Alignment with the Combination of Structure and Attribute Embeddings
A study of the Dream Net model robustness across continual learning scenarios
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification
Adaptive dimension reduction for clustering high dimensional data
Tracking Aspects in News Documents
Contrastive Code-Comment Pre-training
Multivariate Time-series Anomaly Detection via Graph Attention Network
Detecting Overlapping Communities from Local Spectral Subspaces
An Integer Programming Approach to Temporal Pattern Matching Queries
Continual Semantic Segmentation via Scalable Contrastive Clustering and Background Diversity
A Content Based Pattern Analysis System for a Biological Specimen Collection
Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network
Tokenomic Model of Friend.Tech Social Platform: A Data-driven Analysis
Discovering Domain Specific Concepts within User-Generated Taxonomies
Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task
Multi-sensor Visual Analytics Supported by Machine-Learning Models
Information Extraction for Clinical Data Mining: A Mammography Case Study
Deep Semantic Network Representation
Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval
Community Evolution in Dynamic Social Networks - Challenges and Problems
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Controversy Detection Using Reactions on Social Media
The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks
HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks
G-REX: A Versatile Framework for Evolutionary Data Mining
Efficient Probabilistic Latent Semantic Analysis with Sparsity Control
Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs
Fast and Flexible Multivariate Time Series Subsequence Search
Generating Time-Varying Road Network Data Using Sparse Trajectories
A Weighted Support Vector Data Description Based on Rough Neighborhood Approximation
Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor Networks
On the Hardness of Graph Anonymization
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Parallel Contextual Bandits in Wireless Handover Optimization
Learning Dynamic Author Representations with Temporal Language Models
Statistical Approaches to Identifying Androgen Response Elements
Optimal Probabilistic Classification in Active Class Selection
Pattern-Based Contextual Anomaly Detection in HVAC Systems
Medical Image Denoising Using Convolutional Denoising Autoencoders
Incremental Mining of Frequent XML Query Pattern
Online Extreme Learning on Fixed-Point Sensor Networks
Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects
Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model
Improved Multi-view Multi-label Learning with Incomplete Views and Labels
A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection
PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series
Leveraging Supervised Label Dependency Propagation for Multi-label Learning
Mining Maximal Clique Summary with Effective Sampling
Simple Estimators for Relational Bayesian Classifiers
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series
An Enumerative Biclustering Algorithm for DNA Microarray Data
Who is Who: Name Disambiguation in Large-Scale Scientific Literature
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond
Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining
Clusterability Analysis and Incremental Sampling for Nyström Extension Based Spectral Clustering
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Risks of Friendships on Social Networks
Volatility Drift Prediction for Transactional Data Streams
Data Analysis and Mining in Ordered Information Tables
Quality Control for Crowdsourced Hierarchical Classification
Subgraph Support in a Single Large Graph
Large Scale Relation Acquisition Using Class Dependent Patterns
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Multiple Queries of Information Retrieval Using Krylov Subspace Method
Learning Multiple Similarities of Users and Items in Recommender Systems
Mining Personal Image Collection for Social Group Suggestion
NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems
A Study on the Reliability of Case-Based Reasoning Systems
Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural Networks
Learning to Undersampling for Class Imbalanced Credit Risk Forecasting
Learning Local Semantic Distances with Limited Supervision
Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis
Medical Data Mining for Early Deterioration Warning in General Hospital Wards
Transfer Learning with Dynamic Adversarial Adaptation Network
Toward XML-Based Knowledge Discovery Systems
Towards Optimal Symbolization for Time Series Comparisons
Heterogeneous Data Integration by Learning to Rerank Schema Matches
On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis
Binary Time-Series Query Framework for Efficient Quantitative Trait Association Study
Context-Aware MIML Instance Annotation
NetDriller: A Powerful Social Network Analysis Tool
Discovering Unknown Labels for Multi-Label Image Classification
Ensemble Cross-Conformal Prediction
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences
Scalable Multi-Relational Association Mining
To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks
Hierarchical Context Modeling Network for Landmark Recognition
SONNET: Efficient Approximate Nearest Neighbor Using Multi-core
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
Discrimination Of Brown Spot Leaf Disease From RGB Data Of Image
Mining Customer Valuations to Optimize Product Bundling Strategy
Deriving Insights from National Happiness Indices
Behavioral Facilitation Tweets with Basis Extraction
Finding Cohesive Clusters for Analyzing Knowledge Communities
Fast Rectangle Counting on Massive Networks
Isa: Intuit Smart Agent, A Neural-Based Agent-Assist Chatbot
Mining Frequent Closed Itemsets with the Frequent Pattern List
An Unsupervised Algorithm for Learning Blocking Schemes
Employing Discrete Bayes Error rate for discretization and feature selection
Optimizing the Popularity of Twitter Messages through User Categories
An Immune Neural Network Used for Classification
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
How Much Supervision? Corpus-Based Lexeme Sentiment Estimation
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice
Knowledge Transfer among Heterogeneous Information Networks
Link Prediction in the Twitter Mention Network: Impacts of Local Structure and Similarity of Interest
A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation
Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data
Robustness Certification of k-Nearest Neighbors
Explore/Exploit Schemes for Web Content Optimization
Transform Residual K-Means Trees for Scalable Clustering
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
Utility Evaluation Measures for Categorical Data by Classification Performance
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks
Redistricting Using Heuristic-Based Polygonal Clustering
Parallel Algorithms for Distance-Based and Density-Based Outliers
Age Label Distribution Estimation Algorithm Based on Kernel Extreme Learning Machine
An unsupervised methodology for online drift detection in multivariate industrial datasets
Probabilistic Streaming Tensor Decomposition
Scalable Order-Preserving Pattern Mining
ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009
Improving Grouped-Entity Resolution Using Quasi-Cliques
Finding Suspicious Activities in Financial Transactions and Distributed Ledgers
RESTRAC: REference Sequence Based Space TRAnsformation for Clustering
Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter
Privacy Preserving Outlier Detection Using Locality Sensitive Hashing
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression
On Computing Condensed Frequent Pattern Bases
IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs
Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit
Edge Weight Regularization over Multiple Graphs for Similarity Learning
Observing Behaviors of Information Diffusion Models for Diverse Topics of Posts on VK
Document Similarity Self-Join with MapReduce
Stratified Sampling for Data Mining on the Deep Web
A Fast Factorization-Based Approach to Robust PCA
Objective and Subjective Algorithms for Grouping Association Rules
Robust Multi-Target Regression for Correlated Data Corruption
Graph-Oriented Learning via Automatic Group Sparsity for Data Analysis
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data
Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction
Efficient Distributed SGD with Variance Reduction
On K-Means Cluster Preservation Using Quantization Schemes
Mining Unstable Communities from Network Ensembles
Hierarchical Probabilistic Segmentation of Discrete Events
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Domain Knowledge Guided Deep Learning with Electronic Health Records
DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction
Temporal Self-Attention Network for Medical Concept Embedding
Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail Service
Cross-Dataset Validation of Feature Sets in Musical Instrument Classification
Mixtures of ARMA Models for Model-Based Time Series Clustering
Fast PNN-based Clustering Using K-nearest Neighbor Graph
Discriminatively Trained Markov Model for Sequence Classification
Privacy-Preserving Frequent Pattern Mining across Private Databases
Spatio-Temporal Hypergraph Neural ODE Network for Traffic Forecasting
Precipitation Nowcasting Using Grid-based Data in South Korea Region
Mining and Predicting Duplication over Peer-to-Peer Query Streams
MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion
Adaptive Semi-Supervised Dimensionality Reduction
Online Unsupervised Multi-view Feature Selection
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso
SCS: A New Similarity Measure for Categorical Sequences
An in-depth analysis of robustness and accuracy of recommendation systems
From Sequences to Papers: An Information Retrieval Exercise
Privacy-Preserving Cross-Domain Sequential Recommendation
Speaker Identification based on MFSC voice feature extraction using Transformer
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature
Forecasting Ethereum STORJ Token Prices: Comparative Analyses of Applied Bitcoin Models
Efficiently Mining Maximal 1-complete Regions from Dense Datasets
Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation
Phrase-based Document Similarity Based on an Index Graph Model
Spatial Multidimensional Sequence Clustering
Crowdsourcing Data Science for Innovation
SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning
A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping
Estimating Latent Relative Labeling Importances for Multi-label Learning
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Multi-label Classification Using Ensembles of Pruned Sets
Employing Team Composition Strategies for Recommending Teams
Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
Joint Propagation and Refinement for Mining Opinion Words and Targets
Forest Distance Closeness Centrality in Disconnected Graphs
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Forensic Style Analysis with Survival Trajectories
Develop End-to-End Anomaly Detection System
Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation
Finding Heaviest k-Subgraphs and Events in Social Media
FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach
Influence Maximization in Dynamic Social Networks
A Lazy Approach to Pruning Classification Rules
Temporal Evolution of the UK Web
Domain Adaptation Through Cluster Integration and Correlation
Computing Marginal and Conditional Divergences between Decomposable Models with Applications
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments
Improving Spectral Clustering with Deep Embedding and Cluster Estimation
Maximum Margin Clustering with Multivariate Loss Function
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization
USTEP: Unfixed Search Tree for Efficient Log Parsing
Hypergraph Convolutional Network for Group Recommendation
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
Noise Modeling with Associative Corruption Rules
GAFNO: Gated Adaptive Fourier Neural Operator for Task-Agnostic Time Series Modeling
A Framework for Computing the Privacy Scores of Users in Online Social Networks
An Experimental Evaluation of Prior Polarities in Sentiment Lexicons
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
Maximizing Information Spread through Influence Structures in Social Networks
Towards High-Order Complementary Recommendation via Logical Reasoning Network
Minimum Redundancy Gene Selection Based on Grey Relational Analysis
Social Data Platform, D-Ocean
RDF: A Density-Based Outlier Detection Method using Vertical Data Representation
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning
Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion
Bayesian Maximum Margin Clustering
Multiplicative Mixture Models for Overlapping Clustering
Multi-Agent Based Casual Triple Extraction For Factuality Evaluation Using Large Language Models
Supervised Image Classification with Self-Paced Regularization
iNEAT: Incomplete Network Alignment
Sentiment Analysis in News Articles Using Sentic Computing
Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization
Classification with Choquet Integral with Respect to Signed Non-additive Measure
Comparison of Cluster Representations from Partial Second- to Full Fourth-Order Cross Moments for Data Stream Clustering
Aftershock Detection with Multi-scale Description Based Neural Network
From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis
Interval-valued Matrix Factorization with Applications
Towards Simple, Easy-to-Understand, yet Accurate Classifiers
Network Model Selection for Task-Focused Attributed Network Inference
GPUCSL: GPU-Based Library for Causal Structure Learning
Performances and Characteristics of DIGRank, Ranking in the Incomplete Networks
Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets
On Closed Constrained Frequent Pattern Mining
Manifold Clustering of Shapes
Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers
Neural Embedding Propagation on Heterogeneous Networks
Maximum Entropy Based Significance of Itemsets
Adaptive Model Tree for Streaming Data
Optimized Disjunctive Association Rules via Sampling
Robust Convex Clustering Analysis
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
Graph-Structured Sparse Optimization for Connected Subgraph Detection
Where You Are Is What You Do: On Inferring Offline Activities From Location Data
Multi-Class Sentiment Analysis with Clustering and Score Representation
Efficient Episode Mining of Dynamic Event Streams
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization
On Finding Similar Items in a Stream of Transactions