yusuke1997/dblp-id-title huggingface dataset:
Budgeted Batch Bayesian Optimization
Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining
Using Burstiness to Improve Clustering of Topics in News Streams
X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs When the Number of Mixtures Is Unknown
Learning Independent, Diverse Binary Hash Functions: Pruning and Locality
PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification
Dirichlet process mixture models for non-stationary data streams
Weight-Training Ensemble Model for Stock Price Forecast
Detecting and Interpreting Variable Interactions in Observational Ornithology Data
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks
Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed Images
Mining Information Extraction Models for HmtDB annotation
Us and Them: Adversarial Politics on Twitter
Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets
STT: Soft Template Tuning for Few-Shot Adaptation
Detecting Student at Risk of Failure: A Case Study of Conceptualizing Mining from Internet Access Log Files
Innovation Game as Workplace for Sensing Values in Design and Market
Video Retrieval Methods Using Geographic Information in Windows Azure Cloud
Categorization and Keyword Identification of Unlabeled Documents
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing
Efficient Alignments of Metabolic Networks with Bounded Treewidth
Efficient Progressive Sampling for Association Rules
A Localization Toolkit for Sentic Net
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
A Comparative Analysis of User-Generated Content Across Gaming Platforms Using Deep Learning-Based Topic Modeling
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning
Coherent Graphical Lasso for Brain Network Discovery
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective
On Active Learning for Data Acquisition
Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda
Fast Online Training of Ramp Loss Support Vector Machines
Spatiotemporal Attention Networks for Wind Power Forecasting
Adversarial Feature Selection
Locally Estimating Core Numbers
Hierarchical Text Classification and Evaluation
Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains
Homophily, Structure, and Content Augmented Network Representation Learning
Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs
Popular Items or Niche Items: Flexible Recommendation Using Cosine Patterns
Rule Based Product Name Recognition and Disambiguation
Active Learning with Human-Like Noisy Oracle
Geosocial Graph-Based Community Detection
Industry credit spread forecasting based on time series data and industry relationships
Mining Approximate Frequent Itemsets from Noisy Data
Concept Analysis andWeb Clustering using Combinatorial Topology
KSTR: Keyword-Aware Skyline Travel Route Recommendation
Generalized Independent Subspace Clustering
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric
An Efficient Fitness Assignment Based on Dominating Tree
Flood Prediction and Mining Influential Spatial Features on Future Flood with Causal Discovery
Mining Semantic Networks for Knowledge Discovery
Estimating the number of segments in time series data using permutation tests
Analysing the Large-Scale, Time-Oriented, VAST 2010 MC2 Dataset with PRISMA
Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization
Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems
An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities
An Empirical Comparison of Platt Calibration and Inductive Confidence Machines for Predictions in Drug Discovery
How Many Zombies Around You?
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking
On Feature Selection through Clustering
FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction
On Graph Representation based Re-Identification - A Proof of Concept
Cost-Effective User Monitoring for Popularity Prediction of Online User-Generated Content
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation
Football Market Strategies: Think Locally, Trade Globally
Fast Tucker Factorization for Large-Scale Tensor Completion
Data Mining for Official Statistics: Challenges and Opportunities
Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series
Domain-Specific Adaptation of a Partial Least Squares Regression Model for Loan Defaults Prediction
From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
A Cash Flow Based Framework for Asset-Liability Management with Deep Reinforcement Learning
Using Taxonomies to Perform Aggregated Querying over Imprecise Data
DSG: An End-to-End Document Structure Generator
Improving Deep Forest by Exploiting High-order Interactions
High Dimensional Clustering: A Strongly Connected Component Clustering Solution (SCCC)
Intrinsic or Extrinsic Evaluation: An Overview of Word Embedding Evaluation
Leveraging Large Language Models for Predicting Stock Option Valuation and Financial Risk Mitigation
Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs
Prediction of Long-Lead Heavy Precipitation Events Aided by Machine Learning
OLAP Visual Analytics on Large Software Call Graphs with Hierarchical ChordMap
A Thorough Experimental Study of Datasets for Frequent Itemsets
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Fast Random Walk with Restart and Its Applications
Learning by Propagability
Mining Large Networks with Subgraph Counting
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning
Clustering Trajectories of Moving Objects in an Uncertain World
PaTSI: Pattern Mining of Time Series of Satellite Images in Knime
Ranking Web-Based Partial Orders by Significance Using a Markov Reference Model
Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising
Discriminatively Relabel for Partial Multi-label Learning
Efficient Sampling-Based Kernel Mean Matching
Accelerated Online Learning for Collaborative Filtering and Recommender Systems
The River-Rafting System for Knowledge Discovery Related to Persuasion Process Conversation Logs
Billion-Scale Network Embedding with Iterative Random Projection
ChainNet: Learning on Blockchain Graphs with Topological Features
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection?
The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan
Topic Detection Based on User Intention
Scalable Attribute-Value Extraction from Semi-structured Text
Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale Databases
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations
On Using SIFT Descriptors for Image Parameter Evaluation
Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay
Decision Theory for Discrimination-Aware Classification
Cold Item Recommendations via Hierarchical Item2vec
Efficient Distance Computation Using SQL Queries and UDFs
Learning from Order Examples
CEMiner - An Efficient Algorithm for Mining Closed Patterns from Time Interval-Based Data
Mining Text Outliers in Document Directories
Mining Multiple Satellite Sensor Data Using Collaborative Clustering
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
Python Source Code De-anonymization Using Nested Bigrams
Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation
Interactive Grouping of Friends in OSN: Towards Online Context Management
AirCalypse: Revealing Fine-Grained Air Quality from Social Media
Prescriptive Learning for Air-Cargo Revenue Management
A Study of Laplacian Spectra of Graph for Subgraph Queries
Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs
Decision Support in Data Centers for Sustainability
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China
Frequent Subgraph Discovery
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases
Context Sketching for Memory-efficient Graph Representation Learning
Graph-Based Iterative Hybrid Feature Selection
Formal Models for Expert Finding on DBLP Bibliography Data
A/B Testing at SweetIM: The Importance of Proper Statistical Analysis
Spatio-Temporal GRU for Trajectory Classification
Semi-supervised PLSA for Document Clustering
An Effective Hypergraph Clustering in Multi-Stage Data Mining of Traditional Chinese Medicine Syndrome Differentiation
Identifying Transformative Scientific Research
Rough-Set-Based ADR Signaling from Spontaneous Reporting Data with Missing Values
Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning
Principled Multilayer Network Embedding
Alert Detection in System Logs
Improved Consistent Sampling, Weighted Minhash and L1 Sketching
Probabilistic Inference Protection on Anonymized Data
Prediction in Long-term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition Patterns
Latent Dirichlet Conditional Naive-Bayes Models
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC
Sequential Variational Learning of Dynamic Factor Mixtures
Learning Maximum Lag for Grouped Graphical Granger Models
Data-driven Kernel Subspace Clustering with Local Manifold Preservation
GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space
Modeling Adoption and Usage of Competing Products
Feature Selection for the Classification of Longitudinal Human Ageing Data
Integrating Knowledge in Search of Biologically Relevant Genes
Inference of Partial Canonical Correlation Networks with Application to Stock Market Portfolio Selection
Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network
Towards the Detection of Potential Contradictions in Fuzzy Ontology Using a High Level Net Approach Integrated with Uncertainty Inference
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization
Cross-Language Opinion Target Extraction in Review Texts
Dynamic News Recommendation with Hierarchical Attention Network
Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models
A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews
HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures
Integration and Automation of Data Preparation and Data Mining
Survival Random Forest to Predict Time to Fill
Defining and Evaluating Network Communities Based on Ground-Truth
Discovering Manufacturing Process from Timed Data: the BJT4R Algorithm
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
Iterative Graph Alignment via Supermodular Approximation
A User-driven and Quality-oriented Visualization for Mining Association Rules
Regression Clustering
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Emotion Recognition from Text Based on Automatically Generated Rules
Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering
Fast and Exact Monitoring of Co-Evolving Data Streams
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization
Beyond Sights: Large Scale Study of Tourists' Behavior Using Foursquare Data
Positive-Unlabeled Learning in the Face of Labeling Bias
Discovering Temporal Features and Relations of Activity Patterns
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale
HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift
DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds
Pi-CEP: Predictive Complex Event Processing Using Range Queries over Historical Pattern Space
M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning
Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space Mapping
Prefix and Suffix Invariant Dynamic Time Warping
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling
Fast Spatial Autocorrelation
Multi-graph-view Learning for Graph Classification
Emergence of Regularities in the Stochastic Behavior of Human
Reliable Detection of Episodes in Event Sequences
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics
From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations
An Efficient Policy Gradient Method for Conditional Dialogue Generation
Learning Domain-Specific Polarity Lexicons
Network Embedding with Centrality Information
Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast Cancer
Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling
Differentially Private Prescriptive Analytics
Knowledge Guided Short-Text Classification for Healthcare Applications
Graph Pattern Mining and Learning through User-Defined Relations
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary
Online Heterogeneous Feature Fusion for Visual Recognition
Quick Detection of High-Degree Entities in Large Directed Networks
Accelerated Hierarchical Density Based Clustering
Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter
Online Classification for Time-Domain Astronomy
Fast On-line Kernel Learning for Trees
UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation
Care-by-Design: Enhancing Customer Experience through Empathetic AI Chatbots
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Mining Temporal Profiles of Mobile Applications for Usage Prediction
Distribution of Node Embeddings as Multiresolution Features for Graphs
Analyzing the Interestingness of Association Rules from the Temporal Dimension
Meta-Transfer Learning: An application to Streamflow modeling in River-streams
Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering
Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images
Active Learning from Positive and Unlabeled Data
Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures
Privacy Preserving Nearest Neighbor Search
A Decision Support System for Crowd Control Using Agent-Based Modeling and Simulation
Progressive and Interactive Analysis of Event Data Using Event Miner
Orthogonal Matching Pursuit for Sparse Quantile Regression
CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification
Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes
Personalized Travel Package Recommendation
Ontology-based Association Rules Retrieval using Protege Tools
Mining Optimal Actions for Profitable CRM
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine
Conditional Models for Non-smooth Ranking Loss Functions
Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal
Markov Blanket Feature Selection with Non-faithful Data Distributions
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window
A Unified Theory of the Mobile Sequential Recommendation Problem
Learning Rules from Highly Unbalanced Data Sets
Evolutionary Time Series Segmentation for Stock Data Mining
A Comparison of Objective Functions in Network Community Detection
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results
Change Profiles
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars
Prediction of Skin Penetration Using Machine Learning Methods
Online and Batch Learning of Generalized Cosine Similarities
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games
SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks
SolarMap: Multifaceted Visual Analytics for Topic Exploration
Sentiment is an Attitude not a Feeling
Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement
Efficient Feature Selection in the Presence of Multiple Feature Classes
GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection
Hierarchical Incident Ticket Classification with Minimal Supervision
Efficient Graphlet Counting for Large Networks
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision
User and Topic Hybrid Context Embedding for Finance-Related Text Data Mining
Interest Analysis Using Semantic PageRank and Social Interaction Content
SINE: Scalable Incomplete Network Embedding
Comparing Classifiers in Historical Census Linkage
Privacy-Preserving Temporal Record Linkage
Feature Selection with Integrated Relevance and Redundancy Optimization
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer
Dengue Fever: From Extreme Climates to Outbreak Prediction
Statistical Considerations in Learning from Data
Spectral Clustering for Medical Imaging
Shikake Data Market for Collaborative Shikake Creation
Combining the web content and usage mining to understand the visitor behavior in a web site
A Hypergraph Based Clustering Algorithm for Spatial Data Sets
Language-Independent Set Expansion of Named Entities Using the Web
Robust Collaborative Learning with Noisy Labels
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate
A Study on the Impact of Data Anonymization on Anti-discrimination
Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction
Home Location Inference from Sparse and Noisy Data: Models and Applications
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems
Sub-Gibbs Sampling: A New Strategy for Inferring LDA
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Clustering Based Fast Low-Rank Approximation for Large-Scale Graph
Graph Self-Contrast Representation Learning
Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach
Declarative Heuristic Search for Pattern Set Mining
Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data
A machine learning-based approach for mercury detection in marine waters
CUBS: Multivariate Sequence Classification Using Bounded Z-score with Sampling
IEEE International Conference on Data Mining, ICDM 2024 - Workshops, Abu Dhabi, United Arab Emirates, December 9, 2024
Scaling Log-Linear Analysis to High-Dimensional Data
Bilingual Speech Recognition based on Deep Neural Networks and Directed Acyclic Word Graphs
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Online and Semi-Online Vector Scheduling on A Single Machine with Rejection
Interest Sustainability-Aware Recommender System
Bayesian Aggregation of Binary Classifiers
Visual Analysis of Bipartite Networks
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection
Efficient Text Classification by Weighted Proximal SVM
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy
Contextual Target-Specific Stance Detection on Twitter: Dataset and Method
BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights
StreamDM: Advanced Data Mining in Spark Streaming
Knowledge Representation Learning via Dynamic Relation Spaces
Product-Based Neural Networks for User Response Prediction
Mining Interpretable Human Strategies: A Case Study
Bounded Matrix Low Rank Approximation
Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques
Detecting General Opinions from Customer Surveys
Sentiment Analysis of Primary Historical Sources
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study
Diffusion Archaeology for Diffusion Progression History Reconstruction
Progression Analysis of Community Strengths in Dynamic Networks
Clinical Pathway Generation from Order Histories and Discharge Summaries
Scalable and Real-Time Sentiment Analysis of Twitter Data
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking
Link Prediction and Recommendation across Heterogeneous Social Networks
Maximizing Expected Model Change for Active Learning in Regression
Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network
Clustering Distributed Time Series in Sensor Networks
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering
Multi-Objective Symbolic Regression for Data-Driven Scoring System Management
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble
Classification in Presence of Drift and Latency
Domain-Adversarial Graph Neural Networks for Text Classification
A New Graph-Based Algorithm for Clustering Documents
Blocking Simple and Complex Contagion by Edge Removal
Clustering Time Series Using Unsupervised-Shapelets
Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification
Hyperbolic Node Structural Role Embedding
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins
Effective and Efficient Distributed Model-Based Clustering
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
Defending Network IDS against Adversarial Examples with Continual Learning