yusuke1997/dblp-id-title huggingface dataset:
Adversarial Removal of Population Bias in Genomics Phenotype Prediction
NetGist: Learning to Generate Task-Based Network Summaries
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment
Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics
Advertising Campaigns Management: Should We Be Greedy?
In-Core Computation of Geometric Centralities with HyperBall: A Hundred Billion Nodes and Beyond
Quantification and Analysis of Scientific Language Variation Across Research Fields
A Classification Based Framework for Concept Summarization
Semi-Supervised Similarity Preserving Co-Selection
ntegrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining
A Hybrid Classification Scheme for Mining Multisource Geospatial Data
Group Preference Aggregation: A Nash Equilibrium Approach
Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph
A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets
Concept Analysis Based on Granular Formal Contexts
Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification
Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series
Nonsmooth Bilevel Programming for Hyperparameter Selection
Cross-Modal Attention Network for Sign Language Translation
Discriminant Analysis: A Unified Approach
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
Epidemic K-Means Clustering
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data
Multiclass Semi-Supervised Boosting Using Similarity Learning
Segmenting Customer Transactions Using a Pattern-Based Clustering Approach
Ring-Shaped Hotspot Detection: A Summary of Results
Feature Selection via Supervised Model Construction
Catching the Head, Tail, and Everything in Between: A Streaming Algorithm for the Degree Distribution
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series
Mixed Membership Subspace Clustering
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
Analysis of Incrementally Generated Clusters in Biological Networks Using Graph-Theoretic Filters and Ontology Enrichment
Towards Interpretation of Recommender Systems with Sorted Explanation Paths
Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features
Data Augmentation Using Generative AI In Tomato Leaf Lesion Classification Problems
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut
A Combinatorial Approach to Role Discovery
Testing the Significance of Patterns in Data with Cluster Structure
Inferring Variable Labels Considering Co-occurrence of Variable Labels in Data Jackets
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records
Joint Debiased Representation Learning and Imbalanced Data Clustering
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
Learning a Bi-Stochastic Data Similarity Matrix
Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection
Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control
Learning Target Predictive Function without Target Labels
HIREL: An Incremental Clustering Algorithm for Relational Datasets
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging
Sparse Factorization Machines for Click-through Rate Prediction
Probabilistic Segmentation and Analysis of Horizontal Cells
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation
Locally Constrained Support Vector Clustering
Building a National Perinatal Data Base without the Use of Unique Personal Identifiers
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining
Reclassification Rules
Evaluation of Social, Geography, Location Effects for Point-of-Interest Recommendation
Peculiarity Analysis for Classifications
Bounded Support Vector Machines, Semidefinite
Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams
K-means for Evolving Data Streams
Market Research Design on Modeling Propensity to Purchase and Market Potential: Using GIS and Data Mining as the Tools
Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology
Generating Unified Candidate Skill Graph for Career Path Recommendation
Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images
Privacy Preserving GWAS Data Sharing
High Performance Data Mining Using the Nearest Neighbor Join
A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation
Local Correlation Tracking in Time Series
A RBF classifier with supervised center selection and weighted norm
Outlier Detection from Network Data with Subnetwork Interpretation
CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability
Fast and Accurate Triangle Counting in Graph Streams Using Predictions
Diameter Minimization by Shortcutting with Degree Constraints
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods
Parallelized Frequent Item Set Mining Using a Tall and Skinny Matrix
A Budget-Constrained Inverse Classification Framework for Smooth Classifiers
Distance and Density Clustering for Time Series Data
Classification of Dementia Associated Disorders Using EEG based Frequent Subgraph Technique
Self-Training with Selection-by-Rejection
Large-Scale Linear Support Vector Ordinal Regression Solver
Optimal Projections of High Dimensional Data
Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs
Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
△-Closure Structure for Studying Data Distribution
Modeling Graphs with Vertex Replacement Grammars
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013
Random Forest Based Feature Induction
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision
Insight Analysis for Tennis Strategy and Tactics
Comparing Reliability of Association Rules and OLAP Statistical Tests
Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization
Online change detection: Monitoring land cover from remotely sensed data
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction
QMAS: Querying, Mining and Summarization of Multi-modal Databases
Expander Graph Quality Optimisation in Randomised Communication
OP-Cluster: Clustering by Tendency in High Dimensional Space
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning
Hiding Sensitive Trajectory Patterns
Evaluating the Utility of Statistical Phrases and Latent Semantic Indexing for Text Classification
Towards Data-Driven Football Player Assessment
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data
ABS: The Anti Bouncing Model for Usage Data Streams
Taming a Fuzzer Using Delta Debugging Trails
Separation of Interleaved Web Sessions with Heuristic Search
A Bootstrap Approach to Eigenvalue Correction
Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters
Wavelet Based UXO Detection
Analysis of UN Voting Patterns via Diffusion Geometry and Thematic Clustering
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
EgoLP: Fast and Distributed Community Detection in Billion-Node Social Networks
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters
Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines
A Visual Analytics Tool for Analysing Microarray Data
DeBot: Twitter Bot Detection via Warped Correlation
Decision-focused Graph Neural Networks for Graph Learning and Optimization
Bayesian A/B Testing with Covariates
CoCoST: A Computational Cost Efficient Classifier
Anomaly Detection in Financial Data Using GA-Optimized MLP Models
Precise Bayes Classifier: Summary of Results
Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification
Low-Rank Transfer Subspace Learning
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting
Financial Forecasting with Gompertz Multiple Kernel Learning
Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex Set
When and Where?: Behavior Dominant Location Forecasting with Micro-Blog Streams
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks
An Algebraic Approach to Data Mining: Some Examples
Analysis of Collaborative Writing Processes Using Hidden Markov Models and Semantic Heuristics
Self-explaining Hierarchical Model for Intraoperative Time Series
A Framework for Regional Association Rule Mining in Spatial Datasets
GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search
MobInsight: Understanding Urban Mobility with Crowd-Powered Neighborhood Characterizations
Mining Frequent Spatio-Temporal Sequential Patterns
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
Top-(R%, K) Spatiotemporal Event Sequence Mining
Finding Teams of Maximum Mutual Respect
Anomaly Detection Using an Ensemble of Feature Models
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
SOAL: Second-Order Online Active Learning
Using Storm to Perform Dynamic Egocentric Network Motif Analysis
A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression
Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs
Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery
Transfer Learning across Cancers on DNA Copy Number Variation Analysis
Quantification via Probability Estimators
A Comparative Study of Methods for Transductive Transfer Learning
Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network
Self-Adaptive Anytime Stream Clustering
Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment
Exploiting the Focus of the Document for Enhanced Entities' Sentiment Relevance Detection
J-Distance Discord: An Improved Time Series Discord Definition and Discovery Method
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
The HyperKron Graph Model for Higher-Order Features
Ensemble Pruning via Constrained Eigen-Optimization
Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification
Evaluation of Non-linearity in MIR Spectroscopic Data for Compressed Learning
Cluster merging and splitting in hierarchical clustering algorithms
Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases
Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications
On the Privacy Preserving Properties of Random Data Perturbation Techniques
A Study on Privacy Preservation for Multi-user and Multi-granularity
Telling Cause from Effect Using MDL-Based Local and Global Regression
Improving Text Classification using Local Latent Semantic Indexing
Search Behavior Based Latent Semantic User Segmentation for Advertising Targeting
Graph-Based Term Weighting Scheme for Topic Modeling
Fast Single-Class Classification and the Principle of Logit Separation
Collaborative Distillation for Top-N Recommendation
Viewers' Side Analysis of Social Interests
Personalized Federated Semi-Supervised Learning with Black-Box Models
A Domain-Independent Text Segmentation Method for Educational Course Content
The Impact of Batch Learning in Stochastic Linear Bandits
Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature
Fast Frequent String Mining Using Suffix Arrays
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements
Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis
A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical Analysis
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on Billion-Scale Networks
Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy
Classifying Socially Sensitive Data Without Discrimination: An Analysis of a Crime Suspect Dataset
An Influence-Receptivity Model for Topic Based Information Cascades
Incremental Discriminant Learning for Heterogeneous Domain Adaptation
On Learning Asymmetric Dissimilarity Measures
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data
Multi-instance Metric Learning
Attribute Measurement Policies for Time and Cost Sensitive Classification
Effective Steering of Customer Journey via Order-Aware Recommendation
Interactive Activities Initiation through Retrieving Hidden Social Information Networks
A Mobility Simulation Framework Of Humans With Group Behavior Modeling
Adaptability of Dynamic Quality Function Deployment to the Concept Design of Electric Trucks: An Attempt to Knowledge Management and Data Engineering
Modal-style operators in qualitative data analysis
Mining Allocating Patterns in One-Sum Weighted Items
Active Learning from Multiple Noisy Labelers with Varied Costs
Multilayer Scene Similarity Assessment
A Differentially Private Graph Estimator
Multi-party Sparse Discriminant Learning
Unsupervised and Semi-Supervised Two-class Support Vector Machines
Parallel Hierarchical Clustering on Market Basket Data
Generating Medical Hypotheses Based on Evolutionary Medical Concepts
W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks
A Multilevel NER Framework for Automatic Clinical Name Entity Recognition
Compression Methods for Transformers in Multidomain Sentiment Analysis
Deploying Approaches for Pattern Refinement in Text Mining
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources
Online Bayesian Sparse Learning with Spike and Slab Priors
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection
Two-Level Graph Representation Learning with Community-as-a-Node Graphs
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets
Dynamic Contextual Multi Arm Bandits in Display Advertisement
Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements
Active Learning with Multi-Granular Graph Auto-Encoder
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm
Influence Visualization of Scientific Paper through Flow-Based Citation Network Summarization
Synthesis of Decision Making: From Data to Business Execution
Incremental Support Vector Clustering
Leveraging Moderate User Data for News Recommendation
An Efficient Greedy Method for Unsupervised Feature Selection
The Passenger Demand Prediction Model on Bus Networks
Accurate Graph-Based PU Learning without Class Prior
A New Anomaly Detection Algorithm Based on Quantum Mechanics
A Method of Purchase Prediction Based on User Behavior Log
Finding Multiple Stable Clusterings
An Efficient Technique for Mining Approximately Frequent Substring Patterns
Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on Internet
Crowdsourcing with Self-paced Workers
Location Prediction via Social Contents and Behaviors: Location-Aware Behavioral LDA
A Cluster-Oriented Genetic Algorithm for Alternative Clustering
Detecting Dynamic Critical Links within Large Scale Network for Traffic State Prediction
Data Fusion Using Restricted Boltzmann Machines
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification
Fixed-Parameter Tractable Combinatorial Algorithms for Metabolic Networks Alignments
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Identifying and Preventing Data Leakage in Multi-relational Classification
Online CP Decomposition for Sparse Tensors
The Multiple Alignment Algorithm for Metabolic Pathways without Abstraction
Deep Outdated Fact Detection in Knowledge Graphs
Mining the Web to Discover the Meanings of an Ambiguous Word
Approximation algorithms for probabilistic $k$-center clustering
On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy and/or Possibilistic Partitions with the Rand Index
Contextual Sequential Pattern Mining
Characterization of In-season Elite Football Trainings by GPS Features: The Identity Card of a Short-Term Football Training Cycle
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration
SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013
Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile
Parametric Characterization of Multimodal Distributions with Non-gaussian Modes
minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative Clusterings
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
Twitter-Informed Crowd Flow Prediction
MentalNet: Heterogeneous Graph Representation for Early Depression Detection
Dissimilarity Random Forest Clustering
Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays
Towards A Foundation Model For Trajectory Intelligence
Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems
Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing
A Biometric Security Model for Wearable Healthcare
Combining Active Learning and Self-Labeling for Deep Learning from Data Streams
Scaling Inference for Markov Logic via Dual Decomposition
How Will Sense of Values Change during Art Appreciation?
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
Character String Analysis and Customer Path in Stream Data
Sample Bias due to Missing Data in Mobility Surveys
HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data
Transductive Representation Learning for Cross-Lingual Text Classification
Climate Data Analytics Applied to Sugar Cane Crop in the French West Indies
Modeling Time Lags in Citation Networks
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation
Geo-referenced Time-Series Summarization Using k-Full Trees: A Summary of Results
Heuristic Optimization for Decentralized Frequent Itemset Counting
Generating an informative cover for association rules
Exploiting Social Media with Tensor Decomposition for Pharmacovigilance
Social Spammer Detection with Sentiment Information
Music Mood Classification via Deep Belief Network
Examining Botnet Behaviors for Propaganda Dissemination: A Case Study of ISIL's Beheading Videos-Based Propaganda
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data
Semantic Aspect Discovery for Online Reviews
Optimizing Frequency Queries for Data Mining Applications
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining
Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation
An Improved Collaborative Method for Recommendation and Rating Prediction
Social Capital in Friendship-Event Networks
Temporal Scale of Processes in Dynamic Networks
Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis
Edit distance with Quasi Real Penalties: a hybrid distance for network-constrained trajectories
Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity
Temporal Data Mining on the Stay Time of Outpatients and Treatment Processes
Exploiting Network Structure for Active Inference in Collective Classification
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks
Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification
A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings
High Performance Offline and Online Distributed Collaborative Filtering
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems
VAM: Value Propensity Score For User Acquisition Marketing Campaign
Residual Matrix and Statistical Independence in a Contingency Table
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
MEET: A Method for Embeddings Evaluation for Taxonomic Data
Adaptive Neural Network for Node Classification in Dynamic Networks
On the Lower Bound of Local Optimums in K-Means Algorithm
Truth Discovery in Sequence Labels from Crowds
Microblog Sentiment Topic Model
K-BestMatch Reconstruction and Comparison of Trajectory Data
Scoring Models for Insurance Risk Sharing Pool Opimization
Efficient Anonymizations with Enhanced Utility
TENET: A Machine Learning-Based System for Target Characterization in Signaling Networks
Stitching Aerial Images for Vehicle Positioning and Tracking
A Deep Embedding Model for Co-occurrence Learning
Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation
Recognizing Variables from Their Data via Deep Embeddings of Distributions
Personal Identification with Face and Voice Features Extracted through Kinect Sensor
Parallel Concept Drift Detection with Online Map-Reduce
A United Approach to Learning Sparse Attributed Network Embedding
Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion