yusuke1997/dblp-id-title huggingface dataset:
Discovering Periodic Patterns in Irregular Time Series
Geospatial Schema Matching with High-Quality Cluster Assurance and Location Mining from Social Network
Centrality-Based Approach for Supervised Term Weighting
MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs
Inductive Granger Causal Modeling for Multivariate Time Series
Scalable Training of Sparse Linear SVMs
Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder
Manifold Learning and Missing Data Recovery through Unsupervised Regression
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
AINE: An Immunological Approach to Data Mining
Innovators Marketplace as Game on the Table versus Board on the Web
Ad Hoc Association Rule Mining as SQL3 Queries
Convex Approximation to the Integral Mixture Models Using Step Functions
Realization of Random Forest for Real-Time Evaluation through Tree Framing
Measuring Network Structure Metrics as a Proxy for Socio-Political Activity in Social Media
Parallel PathFinder Algorithms for Mining Structures from Graphs
Sparse Maximum Margin Logistic Regression for Credit Scoring
A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method
Multimapper: Data Density Sensitive Topological Visualization
GCMCSR: A New Graph Convolution Matrix Complete Method with Side-Information Reconstruction
Evolutionary Gabor Filter Optimization with Application to Vehicle Detection
Efficient Multidimensional Quantitative Hypotheses Generation
Multi-sentiment Modeling with Scalable Systematic Labeled Data Generation via Word2Vec Clustering
Audio Classification of Bird Species: A Statistical Manifold Approach
Smart Saver: A Consumer-Oriented Web Service for Energy Disaggregation
Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning
Temporal Clustering with External Memory Network for Disease Progression Modeling
User-directed Exploration of Mining Space with Multiple Attributes
Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness
Spatio-temporal Energy Based Gait Recognition
An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range Modeling
Adapting Information Extraction Knowledge For Unseen Web Sites
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling
Icon-based Visualization of Large High-Dimensional Datasets
A Graph-Based Approach for Learner-Tailored Teaching of Korean Grammar Constructions
Exploring Social Influence on Location-Based Social Networks
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements
Jointly Multi-Similarity Loss for Deep Metric Learning
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis
A Scalable Method for Exact Sampling from Kronecker Family Models
Sparse Subspace Representation for Spectral Document Clustering
Dimensional Testing for Multi-step Similarity Search
A Model for Discovering Correlations of Ubiquitous Things
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
Scalable SVM-Based Classification in Dynamic Graphs
On the Verification of Embeddings with Hybrid Markov Logic
An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing
Triple Jump Acceleration for the EM Algorithm
An Application of Differentially Private Linear Mixed Modeling
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction
Privacy-Preserving Data Mining Applications in the Malicious Model
A Comparison of Ambulance Redeployment Systems on Real-World Data
Matrix Profile VI: Meaningful Multidimensional Motif Discovery
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
Counterfactual Attention Supervision
Stability-Based Stopping Criterion for Active Learning
PSANet - subspace attention for personalized compatibility
Walk 'n' Merge: A Scalable Algorithm for Boolean Tensor Factorization
Explainable Artificial Intelligence for Interpretable Data Minimization
Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences
Data Intrusion Tolerance Model based on Game Theory for Energy Internet
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic
A Novel Time-Frequency Analysis Approach for Nonstationary Time Series Using Multiresolution Wavelet
Human-Assisted Computation for Auto-Grading
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023
Identifying Similar Neighborhood Structures in Private Social Networks
LOCI: Load Shedding through Class-Preserving Data Acquisition
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation
A federated learning based approach for loan defaults prediction
A Data Mining Approach to Classify Credit Cardholders' Behavior
Compatible Transformer for Irregularly Sampled Multivariate Time Series
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022
Global Biclustering of Microarray Data
Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning
Efficient Algorithm for Computing Link-Based Similarity in Real World Networks
Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference
Association Rule Mining in Peer-to-Peer Systems
Unsupervised Feature Learning with Discriminative Encoder
Block-Iterative Algorithms for Non-negative Matrix Approximation
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows
SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions
Graph Open-Set Recognition via Entropy Message Passing
Diagonally Colorized iVAT Images for Labeled Data
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent
Cluster Ranking with an Application to Mining Mailbox Networks
Incremental Learning in Time-series Data using Reinforcement Learning
Knowledge Graph Constraints for Multi-label Graph Classification
Anomaly Detection Using the Poisson Process Limit for Extremes
Comparison of MACLAW with several attribute selection methods for classification in hyperspectral images
Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading
Emotional Synchronization for Audio-Driven Talking-Head Generation
Cost-Effective Transfer Learning for Data Streams
ViVA: Semi-supervised Visualization via Variational Autoencoders
Improved Feature Selection by Incorporating Gene Similarity Into the LASSO
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework
On Meta-Learning Rule Learning Heuristics
Steering Social Media Promotions with Effective Strategies
Rule Ensembles for Multi-target Regression
A Semi-definite Positive Linear Discriminant Analysis and Its Applications
Discovering Anomalies and Root Causes in Applications via Relevant Fields Analysis
MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm
Discovering Temporal Communities from Social Network Documents
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home
Deep Learning Solutions to Computational Phenotyping in Health Care
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining
The Role of Domain Ontology in Text Mining Applications: The ADDMiner Project
Khan Academy: A Social Networking and Community Question Answering Perspective
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks
Web Query Prediction by Unifying Model
A Distinguishing Attack with a Neural Network
Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of Significance
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data
Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data
Itemsets for Real-Valued Datasets
eMailSift: Email Classification Based on Structure and Content
Debunking Fake News in Online Social Networks Without Text Analysis
A Biobjective Model to Select Features with Good Classification Quality and Low Cost
Publishing Sensitive Transactions for Itemset Utility
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Efficiently Mining Unordered Trees
CAMTA: Causal Attention Model for Multi-touch Attribution
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations
Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining
Utility-Based Web Path Traversal Pattern Mining
XML Documents Clustering Using Tensor Space Model -- A Preliminary Study
Adaptive Threshold Selection for Trust-Based Detection Systems
Auto Graph Filtering for Bundle Recommendation
Multi-task Learning with Task Relations
Pathway-Finder: An Interactive Recommender System for Supporting Personalized Care Pathways
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Discovery of Internal and External Hyperclique Patterns in Complex Graph Databases
Standardization for Innovation with Data Exchange
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
GANBLR: A Tabular Data Generation Model
On Multi-query Local Community Detection
Revealing the Unseen: How to Expose Cloud Usage While Protecting User Privacy
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights
Combining Multiple Weak Clusterings
ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand Provisioning
Machine Reading for Notion-Based Sentiment Mining
Text Classification by Boosting Weak Learners based on Terms and Concepts
Dual trustworthy mechanism for illness classification with multi-modality data
Vague One-Class Learning for Data Streams
Visualizing Association Mining Results through Hierarchical Clusters
Resource Management for Networked Classifiers in Distributed Stream Mining Systems
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition
Support Vector Machines for Uplift Modeling
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
Video Saliency Detection with Gated CNN and Residual Architecture
Scalable Link Prediction on Multidimensional Networks
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence
FiVaTech: Page-Level Web Data Extraction from Template Pages
Patterns on the Connected Components of Terabyte-Scale Graphs
DIVINIA: Rare Object Localization and Search in Overhead Imagery
A Primal-Dual Subgradient Approach for Fair Meta Learning
$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
How to Do Good Data Mining Research and Get it Published in Top Venues
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs
Semi-Supervised Mixture of Kernels via LPBoost Methods
Matching in Frequent Tree Discovery
HUBify: Efficient Estimation of Central Entities Across Multiplex Layer Compositions
Twitter Fingerprints as Active Authenticators
Efficient Density-Based Clustering of Complex Objects
Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint
High-Dimensional Multimodal Distribution Embedding
Task-level Relations Modelling for Graph Meta-learning
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms
High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection
Finding Communities in Dynamic Social Networks
Efficient Discovery of Frequent Approximate Sequential Patterns
Akori: A Tool Based in Eye-Tracking Techniques for Analyzing Web User Behaviour on a Web Site
Considering Both Intra-Pattern and Inter-Pattern Anomalies for Intrusion Detection
Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams
Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss Weighting
Visualizing Graphs Using Minimum Spanning Dendrograms
Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions
Cost-Sensitive Feature Selection Based on the Set Covering Machine
Investigating the Role of Metaphors in Human-AI Conversation and Engagement
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction
Online Change Point Detection in Open Feature Spaces
TopicOcean: An Ever-Increasing Topic Model With Meta-learning
Spatio-Temporal Site Recommendation
Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation
Classifier Fusion Using Shared Sampling Distribution for Boosting
Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery
Indexing Faces in Broadcast News Video Archives
Cutting to the Chase with Warm-Start Contextual Bandits
Interactive Independent Topic Analysis for Service
Tracking Language Mobility in the Twitter Landscape
Mining Generalized Graph Patterns Based on User Examples
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables
Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations
Laplacian SVM Based Feature Selection Improves Medical Event Reports Classification
A New Framework for Distilling Higher Quality Information from Health Data via Social Network Analysis
Automatic Classification of Music Genre Using Masked Conditional Neural Networks
Using functional PCA for cardiac motion exploration
Multiple Instance Transfer Learning
Distributed Representations of Subgraphs
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results
Graph Reciprocal Neural Networks by Abstracting Node as Attribute
Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors
A Convex Combination of Models for Predicting Road Traffic
Event Data Mining and Classification from Multiple Streaming Sources
Document Clustering Using Semantic Kernels Based on Term-Term Correlations
Multi-label Adversarial Perturbations
Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift
An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social Networks
Incremental Rebalancing Learning on Evolving Data Streams
Bounding and Estimating Association Rule Support from Clusters on Binary Data
Modeling of Collective Synchronous Behavior on Social Media
Mining Closed and Maximal Frequent Induced Free Subtrees
Online Fusion of Incremental Learning for Wireless Sensor Networks
Mining Frequent Closed Patterns in Microarray Data
Reducing Classification Cost through Strategic Annotation Assignment
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation
Bayesian Rule Sets for Interpretable Classification
Semi-Supervised Psychometric Scoring of Document Collections
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data
Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach
Mining Substructures in Protein Data
Estimation of False Negatives in Classification
Understanding Data Completeness in Network Monitoring Systems
An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective
Joint Scence Network and Attention-Guided for Image Captioning
?-Anomica: A Fast Support Vector Based Novelty Detection Technique
Efficient Computation of Multiple Density-Based Clustering Hierarchies
Progressive Modeling
Infinitely Deep Graph Transformation Networks
Guiding Autonomous Agents to Better Behaviors through Human Advice
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities
Predicting Dementia Screening and Staging Scores from Semantic Verbal Fluency Performance
Spatio-Temporal Trend Analysis of the Brazilian Elections Based on Twitter Data
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data
Multi-task Semi-supervised Semantic Feature Learning for Classification
Representing and Resolving Negation for Sentiment Analysis
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction
TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling
Applications of Data Mining in Hydrology
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks
Time Constrained Influence Maximization in Social Networks
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques
Structural Robust Label Propagation on Homogeneous Graphs
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks
Stress Identification in Online Social Networks
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
Understanding Propagation Error and Its Effect on Collective Classification
Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue
An FUSP-Tree Maintenance Algorithm for Record Modification
Hierarchical Prescription Pattern Analysis with Symptom Labels
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining
Generalized Adversarial Training in Riemannian Space
Helping users discover perspectives: Enhancing opinion mining with joint topic models
Positive and Unlabeled Learning for Graph Classification
A Framework for Emotion Mining from Text in Online Social Networks
Matrix Profile for Anomaly Detection on Multidimensional Time Series
Mining Historical Documents for Near-Duplicate Figures
Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduce
A Deep Reinforcement Learning Approach to Configuration Sampling Problem
Rough Set Subspace Error-Correcting Output Codes
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data
GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs
Mining Valuable Fuzzy Patterns via the RFM Model
Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs
Sequential Heterogeneous Attribute Embedding for Item Recommendation
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
Mining Evolving Network Processes
Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction
Urban Functional Zone Delineation Aided by Vision Foundation Models
Balancing Summarization and Change Detection in Graph Streams
Learning a Secure Classifier against Evasion Attack
Efficient and Scalable Detection of Overlapping Communities in Big Networks
Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing
Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization
QueRIE: A Query Recommender System Supporting Interactive Database Exploration
Scalable Algorithms for Locally Low-Rank Matrix Modeling
Investigation of Various Matrix Factorization Methods for Large Recommender Systems
Combining Super-Structuring and Abstraction on Sequence Classification
An Interactive Semantic Video Mining and Retrieval Platform--Application in Transportation Surveillance Video for Incident Detection
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
Forecasting of Commercial Sales with Large Scale Gaussian Processes
Distributing Frank-Wolfe via Map-Reduce
A Momentum Contrastive Learning Framework for Query-POI Matching
Inferring User Interests on Social Media from Text and Images
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation
A contactless automated dynamic monitoring method for organoid morphology on the time axis
Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA
Scalable Diversified Ranking on Large Graphs
Characterizing Network Motifs to Identify Spam Comments
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions
Multislice Modularity Optimization in Community Detection and Image Segmentation
Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile Taxicabs
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks
Privacy Risk in Graph Stream Publishing for Social Network Data
Learning from Negative Examples in Set-Expansion
Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data
Automatically Discovering Talented Musicians with Acoustic Analysis of YouTube Videos
Defending Suspected Users by Exploiting Specific Distance Metric in Collaborative Filtering Recommender Systems
Active Improvement of Hierarchical Object Features under Budget Constraints
Fun in the Philippines: Automatic Identification and Sentiment Analysis of Tourism-Related Tweets
On Efficient Distance-Based Similarity Search
Mining Statistically Significant Sequential Patterns
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android
Pattern Mining in Frequent Dynamic Subgraphs
Meerkat: Community Mining with Dynamic Social Networks
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart
Towards Domain-Independent Opinion Target Extraction
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
Ontological Hierarchical Clustering for Library-Based Microbial Source Tracking
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model
T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model Reuse
The Applicability of the Perturbation Model-based Privacy Preserving Data Mining for Real-world Data
Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data
Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation
Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models
Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns
Revenue Maximization using Multitask Learning for Promotion Recommendation
Clustering Uncertain Data Using Voronoi Diagrams
Feature Selection in Environments with Limited Voluntary Information Sharing
Multivariate supervised discretization, a neighborhood graph approach
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation
Online Optimized Product Quantization
Pruning Social Networks Using Structural Properties and Descriptive Attributes