yusuke1997/dblp-id-title huggingface dataset:
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Employer Industry Classification Using Job Postings
Learning Node Embeddings for Influence Set Completion
Detecting Mean Changes in Data Streams
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
ID-Link, an Enabler for Medical Data Marketplace
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data
A Levelwise Search Algorithm for Interesting Subspace Clusters
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series
Exploiting PubMed for Protein Molecular Function Prediction via NMF Based Multi-label Classification
Temporal Analysis of Semantic Graphs Using ASALSAN
Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine
Visualization and Classification of Power System Frequency Data Streams
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment
P-packSVM: Parallel Primal grAdient desCent Kernel SVM
Feature-Matching Speech Denoising GANs via Progressive Training
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining
Aspect Summarization from Blogsphere for Social Study
Efficient Discovery of Statistically Significant Association Rules
Mining Contentious Documents Using an Unsupervised Topic Model Based Approach
Clustering Based on MultiView Diffusion Maps
Towards Collusive Fraud Detection in Online Reviews
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization
A New Method for Stock Price Prediction Based on MRFs and SSVM
GRANDE: a neural model over directed multigraphs with application to anti-money laundering
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation
Multiple Feature-Based Classifier and Its Application to Image Classification
Efficient Learning on Point Sets
An Utility-Based Storage Assignment Strategy for e-Commerce Warehouse Management
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks
An Empirical Analysis of Hubness in Unsupervised Distance-Based Outlier Detection
Structure-Based Statistical Features and Multivariate Time Series Clustering
Rumor Stance Classification via Machine Learning with Text, User and Propagation Features
Challenges of Profiling Offenders for Recidivism Risk
Passenger-Centric Metrics for Air Transportation Leveraging Mobile Phone and Twitter Data
Infrequent Item Mining in Multiple Data Streams
Multitask Learning with Feature Selection for Groups of Related Tasks
Semi-Supervised Partial Multi-Label Learning
Argumentation Based Constraint Acquisition
Distribution Preserving Multi-task Regression for Spatio-Temporal Data
Granular Games in Real-Time Environment
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone
Mining Vessel Tracking Data for Maritime Domain Applications
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Incremental Maintenance of Topological Patterns in Spatial-Temporal Database
Meta-patterns: Revealing Hidden Periodic Patterns
Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces
The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord
Theoretically Optimal Distributed Anomaly Detection
A Novel Rule Weighting Approach in Classification Association Rule Mining
On Trajectory Representation for Scientific Features
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial News
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs
Center-Based Indexing for Nearest Neighbors Search
Demand Forecasting by the Neural Network with Discrete Fourier Transform
MetaSTC: A Backbone Agnostic Spatio-Temporal Framework for Traffic Forecasting
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
NetDriller Version 2: A Powerful Social Network Analysis Tool
Weighted-Object Ensemble Clustering
Including Content-Based Methods in Peer-Assessment of Open-Response Questions
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure
A Tree-Based Framework for Difference Summarization
DESQ: Frequent Sequence Mining with Subsequence Constraints
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
Stochastic Hard Thresholding Algorithms for AUC Maximization
Space-Time Summarization of Multisensor Time Series. Case of Missing Data
Spatial Contextualization for Closed Itemset Mining
High-Resolution Urban Image Classification Using Extended Features
Selective Graph Attention Networks for Account Takeover Detection
HClustream: A Novel Approach for Clustering Evolving Heterogeneous Data Stream
Anomalous User Activity Detection in Enterprise Multi-source Logs
RiWalk: Fast Structural Node Embedding via Role Identification
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems
A Radar for the Internet
On Finding Frequent Patterns in Event Sequences
Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings
Semantic Content Filtering with Wikipedia and Ontologies
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging
Fast computation of distance-generalized cores using sampling
Multilingual Sentiment Analysis for Investigating Perceptions of Globalization
Mining High Utility Itemsets
Toponym Recognition in Social Media for Estimating the Location of Events
Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness
RFM Variables Revisited Using Quantile Regression
Robust Local Outlier Detection
Social Role Identification via Dual Uncertainty Minimization Regularization
Deep Transfer Tensor Factorization for Multi-View Learning
Visual Predictions of Currency Crises Using Self-Organizing Maps
Community Learning by Graph Approximation
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams
Understanding Changes in Customer Purchase Behavior: Study of Attenuation Model for Multiparametric Purchase Preferences
Dependency Networks for Relational Data
Scalable Hypergraph Learning and Processing
A Pairwise-Systematic Microaggregation for Statistical Disclosure Control
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
Active Learning with Adaptive Heterogeneous Ensembles
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Leave or Remain? Deciphering Brexit Deliberations on Twitter
Logical Itemset Mining
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network
Recommender Systems Using Harmonic Analysis
Novel Recommendation Based on Personal Popularity Tendency
Network Forensic Analysis Using Growing Hierarchical SOM
Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation
Blood Vessel Segmentation in Pathological Retinal Image
Multi-label Learning with Emerging New Labels
DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams
Unsupervised DRG Upcoding Detection in Healthcare Databases
Possible Usage of Sentiment Analysis for Calculating Vectors of Felific Calculus
A Parameter-Free Approach for Mining Robust Sequential Classification Rules
Improving Every Child's Chance in Life
Event Detection in Twitter: A Keyword Volume Approach
Deep Structure Learning for Fraud Detection
New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms
Modeling Real Estate for School District Identification
Tasks performed in the legal domain through Deep Learning: A bibliometric review (1987-2020)
A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data
A Comparison of Personal Name Matching: Techniques and Practical Issues
Unsupervised Multi-class Regularized Least-Squares Classification
Spectrum-Revealing Cholesky Factorization for Kernel Methods
A Further Investigation on the Reliability of Extreme Learning Machines
Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining
EmTaggeR: A Word Embedding Based Novel Method for Hashtag Recommendation on Twitter
Query-Based Evolutionary Graph Cuboid Outlier Detection
Towards graph-based forecasting with attention for real-world restaurant sales
Clustering Workflow Requirements Using Compression Dissimilarity Measure
Finding Age Path of Self-Paced Learning
The MiningZinc Framework for Constraint-Based Itemset Mining
Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique
Lifting the Predictability of Human Mobility on Activity Trajectories
FpMapViz: A Space-Filling Visualization for Frequent Patterns
alpha-Surface and Its Application to Mining Protein Data
Weighted Frequent Subgraph Mining in Weighted Graph Databases
Local and Global Discriminative Learning for Unsupervised Feature Selection
Mining of EL-GCIs
Discourse Structure and Sentiment
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
Multi-granularity Network Representation Learning Based on Game Theory
Scoring Message Stream Anomalies in Railway Communication Systems
ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls
Efficient Learning for Hashing Proportional Data
In Vivo and In Silico Evidence: Hippocampal Cholesterol Metabolism Decreases with Aging and Increases with Alzheimers Disease - Modeling Brain Aging and Disease
Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation
Momentum is All You Need for Data-Driven Adaptive Optimization
Optimal Timelines for Network Processes
Discovering Reliable Correlations in Categorical Data
Outlier Detection and Trend Detection: Two Sides of the Same Coin
Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding
Mother Fugger: Mining Historical Manuscripts with Local Color Patches
Social Learning in Networks: Extraction of Deterministic Rules
Predicting Users' Search Behavior Using Stochastic Multi-mode Network Models
Using Contextual Information in Transactional Segmentation: An Empirical Study in E-Commerce
A Novel Language-Model-Based Approach for Image Object Mining and Re-ranking
Tree-Based Approach to Missing Data Imputation
TripDecoder: Inferring Routes of Passengers of Mass Rapid Transit Systems by Smart Card Transaction Data
Tovel: Distributed Graph Clustering for Word Sense Disambiguation
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching
Learning Markov Network Structure with Decision Trees
Improving Product Classification Using Images
Detection of Cyber-Physical Faults and Intrusions from Physical Correlations
Individualized Context-Aware Tensor Factorization for Online Games Predictions
Differentially Private Random Forest with High Utility
Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Association Analysis with One Scan of Databases
Learning Latent Correlation of Heterogeneous Sensors Using Attention based Temporal Convolutional Network
Experimental Comparison of Feature Subset Selection Methods
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank
A Theory of Inductive Query Answering
Cooperation Between Abductive and Inductive Nursing Risk Management
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships
Promoting Fairness through Hyperparameter Optimization
Synthetic Data by Principal Component Analysis
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
Optimal Segmentation Using Tree Models
Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model
LSHDB: a parallel and distributed engine for record linkage and similarity search
Probabilistic Labeled Semi-supervised SVM
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence
Sequential Pattern Sampling with Norm Constraints
Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness
Multi-resolution Spatial Event Forecasting in Social Media
Validating Network Value of Influencers by Means of Explanations
Mining Case Bases for Action Recommendation
Data Complexity via Random Projection
AutoClust: A Framework for Automated Clustering based on Cluster Validity Indices
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings
Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone
Association Action Rules
Learning Predictive Substructures with Regularization for Network Data
Cross-Site Virtual Social Network Construction
Border Sampling through Coupling Markov Chain Monte Carlo
CUDA: Contradistinguisher for Unsupervised Domain Adaptation
Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings
Detection of Cross-Channel Anomalies from Multiple Data Channels
Leveraging D-Separation for Relational Data Sets
Mining Generalized Association Rules Using Pruning Techniques
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process
Visual Exploration of a Series of Academic Conferences
Efficient Mining of Non-Dominated High Quantity-Utility Patterns
Continuous-Time Temporal Graph Learning on Provenance Graphs
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems
Automatic Multimodal Aggregation of News from Television and the Web
Transfer Learning via Relational Type Matching
Mining Permission Request Patterns from Android and Facebook Applications
Efficient Multi-source Contact Event Query Processing for Moving Objects
Heterogeneous Graph Neural Architecture Search
Technical Phrase Extraction for Patent Mining: A Multi-level Approach
Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions
Specialist Experts for Prediction with Side Information
Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns
Why Checkins: Exploring User Motivation on Location Based Social Networks
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection
Detecting and Tracking Spatio-temporal Clusters with Adaptive History Filtering
Ensemble-Based Method for Task 2: Predicting Traffic Jam
Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression
Debugging Malware Classification Models Based on Event Logs with Explainable AI
Mining Constrained Association Rules to Predict Heart Disease
Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach
LPTA: A Probabilistic Model for Latent Periodic Topic Analysis
Computing Popular Places Using Graphics Processors
Active Learning to Maximize Area Under the ROC Curve
SUMMARY: Efficiently Summarizing Transactions for Clustering
Effective Text Classification by a Supervised Feature Selection Approach
Non-negative Laplacian Embedding
Fine-Grained Opinion Mining Using Conditional Random Fields
Secure Clustering in Private Networks
PEGASUS: A Peta-Scale Graph Mining System
A New Minimally Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects Discussed in Customer Reviews
Text Classification with Evolving Label-Sets
A Smartphone-Based Probe Data Platform for Road Management and Safety in Developing Countries
Mechanism Design for Clustering Aggregation by Selfish Systems
Findings from a Practical Project Concerning Web Usage Mining
Multi-task Multi-modal Models for Collective Anomaly Detection
Matrix Plane Model: A Novel Measure of Word Co-occurrence and Application on Semantic Relatedness
Local Word Bag Model for Text Categorization
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Data Mining for Climate Change and Impacts
An application of Customer Embedding for Clustering
Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach
A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting
On Attribute Disclosure in Randomization Based Privacy Preserving Data Publishing
STING: Self-attention based Time-series Imputation Networks using GAN
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning
Privacy Preserving Social Network Publication against Mutual Friend Attacks
wRACOG: A Gibbs Sampling-Based Oversampling Technique
A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories
Point-of-Interest Recommender Systems: A Separate-Space Perspective
Check-in Location Prediction Using Wavelets and Conditional Random Fields
Online Adaptive Local Interpretable Tree Ensembles for Time Series Forecasting
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing
Evaluation and Extension to the Duckworth Lewis Method: A Dual Application of Data Mining Techniques
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction
Identifying Key-Players in Online Activist Groups on the Facebook Social Network
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks
On the Vulnerability of Large Graphs
Learning from Multiple Annotators: When Data is Hard and Annotators are Unreliable
Newsworthy Rumor Events: A Case Study of Twitter
A Unified Guaranteed Impression Allocation Framework for Online Display Advertising
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
Sirius: A Density-based Colocation Mining Framework for Sets of Continuous Spatial Variables
Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification
Asynchronous Multi-task Learning
Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures
Iterative Subgraph Mining for Principal Component Analysis
ORIGAMI: Mining Representative Orthogonal Graph Patterns
Density-Based Clustering for Adaptive Density Variation
SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data
Discovering Organizational Structure in Dynamic Social Network
Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes
DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction
Towards Cross-Domain Few-Shot Graph Anomaly Detection
Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce
Anonymizing Temporal Data
A Scalable Framework for Stylometric Analysis Query Processing
APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance
Vehicle Classification from Low Frequency GPS Data
Streamlining Service Levels for IT Infrastructure Support
Effect of Data Repair on Mining Network Streams
Efficient and High-Quality Formal Verification for Decision Tree Ensembles
Supervised Topic Models for Microblog Classification
LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint
GRosSo: Mining Statistically Robust Patterns from a Sequence of Datasets
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection
Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks
Effective Anomaly Detection in Sensor Networks Data Streams
A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets
Resolution Reconstruction of Climate Data with Pixel Recursive Model
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection
Exploiting Graphic Card Processor Technology to Accelerate Data Mining Queries in SAP NetWeaver BIA
Scalable Flow-Based Community Detection for Large-Scale Network Analysis
An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products
Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network
Adversarial Regularized Reconstruction for Anomaly Detection and Generation
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
Bi-Level User Modeling for Deep Recommenders
MapReduce Based Frameworks for Classifying Evolving Data Stream
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting
Study of Topology Bias in GNN-based Knowledge Graphs Algorithms
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG)
Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a Competition
Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets
Telecommunications Strategic Marketing - KDD and Economic Modeling
Application of Fuzzy C-Means for Proactive Clustering of Electrical Power Systems
Subspace Outlier Detection in Linear Time with Randomized Hashing
FS 3 : A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection
Theory and Applications of Attribute Decomposition
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations
A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC Data
Efficient Distributed Core Graph Decomposition
Fuzzy Data Mining: Effect of Fuzzy Discretization
Set2Box: Similarity Preserving Representation Learning for Sets
Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection
An Examination of the State-of-the-Art for Multivariate Time Series Classification
Virtual Sensing of Temperatures in Indoor Environments: A Case Study
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
A Tag-Based Hybrid Music Recommendation System Using Semantic Relations and Multi-domain Information
A Masking Index for Quantifying Hidden Glitches
Patent Maintenance Recommendation with Patent Information Network Model
On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs
Applying Machine Learning in Personality-based Persuasion Marketing
Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model