yusuke1997/dblp-id-title huggingface dataset:
Accurate Detection of Automatically Spun Content via Stylometric Analysis
SVM Based Models for Predicting Foreign Currency Exchange Rates
The Navigation and Visualisation of Environmental Audio Using Zooming Spectrograms
Agent Assignment for Process Management: Agent Performance Evaluation Framework
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering
Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners
Improving Text Classification by Using Encyclopedia Knowledge
Exact-Fun: An Exact and Efficient Federated Unlearning Approach
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
RE-SPaM: Using Regular Expressions for Sequential Pattern Mining in Trajectory Databases
Multimodal Deep Learning with Boosted Trees for Edge Inference
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Stochastic Network Motif Detection in Social Media
High Granularity Remote Sensing and Crop Production over Space and Time: NDVI over the Growing Season and Prediction of Cotton Yields at the Farm Field Level in Texas
Computational Analysis of French Reborrowing Process for English Loanwords
Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach
Cross-Temporal Link Prediction
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning
Balanced Distribution Adaptation for Transfer Learning
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare
Extracting User-Reported Mobile Application Defects from Online Reviews
Automatically Generate a Flat Mining Table with Dataconda
MMSS: Multi-Modal Story-Oriented Video Summarization
Domain Driven Forecasting: Applying Theory Into Practice
Association Rules Enhanced Classification of Underwater Acoustic Signal
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data
Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian Network
SUBSCALE: Fast and Scalable Subspace Clustering for High Dimensional Data
Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection
Comprehensive Sentiment Analysis of Polish Book Reviews Using Large and Small Language Models
Efficient Mining of High Branching Factor Attribute Trees
Investigating Timing and Impact of News on the Stock Market
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
Smart Contract-Driven Pandemic Management Using Blockchain Technology and Artificial Intelligence
Trip Router: A Time-Sensitive Route Recommender System
An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis
Deep Clustering With Consensus Representations
Reducing UK-Means to K-Means
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning
Mining of Attribute Interactions Using Information Theoretic Metrics
Handling Conditional Discrimination
Multimodal Content Analysis for Effective Advertisements on YouTube
Uncertainty-aware Traffic Prediction under Missing Data
Information extraction of Chinese medical electronic records via evolutionary neural architecture search
TL-PLSA: Transfer Learning between Domains with Different Classes
On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example
Higher-Order Web Link Analysis Using Multilinear Algebra
Speedup Clustering with Hierarchical Ranking
Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification
Aligning Boundary in Kernel Space for Learning Imbalanced Dataset
Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA
Identifying Follow-Correlation Itemset-Pairs
Order Selection of Autoregressive Processes Using Bridge Criterion
Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests
Interpreting Deep Neural Networks through Prototype Factorization
Data Anonymity Meets Non-discrimination
SAXually Explicit Images: Finding Unusual Shapes
Integrated Analysis of Research Publications and Patents for Strategic Decision Making
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data
Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN
Discovering Cooperative Structure Among Online Items for Attention Dynamics
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors
Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare
Analytics-Based Solutions for Improving Alert Management Service for Enterprise Systems
Efficient Learning for Models with DAG-Structured Parameter Constraints
Latent Friend Mining from Blog Data
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models
Finding Maximal Significant Linear Representation between Long Time Series
Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes
Efficient Yet Accurate Clustering
Evidence Theory-Based Approach for Epileptic Seizure Detection Using EEG Signals
Learning from Label and Feature Heterogeneity
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
Interactive Unknowns Recommendation in E-Learning Systems
Local and Global Algorithms for Learning Dynamic Bayesian Networks
DPiSAX: Massively Distributed Partitioned iSAX
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective
Probabilistic Formulations of Regression with Mixed Guidance
Adaptable and Reliable Text Classification using Large Language Models
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs
High-Performance Unsupervised Relation Extraction from Large Corpora
Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin
Reconstructing Graphs from Neighborhood Data
Decision Tree Construction from Multidimensional Structured Data
Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection
TreeFinder: a First Step towards XML Data Mining
HILLS: Hierarchical Indoor Localization for Large-Scale Architectural Complex
E-swish Regularized Nonnegative Latent Factorization of Tensors for Dynamic Network Link Prediction
A Privacy Preserving Framework for Gaussian Mixture Models
Online Active Learning with Imbalanced Classes
Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Extraction Techniques for Mining Services from Web Sources
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data
Challenges in Scheduling Aggregation in Cyberphysical Information Processing Systems
CaT: Balanced Continual Graph Learning with Graph Condensation
Permutations as Angular Data: Efficient Inference in Factorial Spaces
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs
Exploring the Parameter State Space of Stacking
Parameter-Free Audio Motif Discovery in Large Data Archives
Subspace Distance-Based Sampling Method for SVM
Biclustering of High-throughput Gene Expression Data with Bicluster Miner
Term Filtering with Bounded Error
Illumination Invariant Face Recognition with Particle Swarm Optimization
Extraction of Highly Correlated Temporal Event Cluster Recurrence from Spatiotemporal Data
Application of Deep Learning to Pre-processing of Cousumer's Eye Tracking Data in Supermarket
Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support
Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report
Characteristic Subspace Learning for Time Series Classification
Enhancing Entity Alignment on Probabilistic Knowledge Graphs
Knowledge File System -- A Principled Approach to Personal Information Management
Characterizing Anomalous Behaviors and Revising Robotic Controllers
Data Mining-Based Service Quality Estimation in Hospital Information System
Hierarchies in Directed Networks
Real-time Dynamic Visualization Techniques for Massive Geospatial Data
Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions
Personalized Federated Learning via Heterogeneous Modular Networks
Formulating, Identifying and Analyzing Individual Spatial Knowledge
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO
A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes
Landscape of Practical Blockchain Systems and their Applications
Bus Travel Time Predictions Using Additive Models
Efficiently Manipulating Structural Graph Clustering Under Jaccard Similarity
Improving Deep Forest by Confidence Screening
Usage-Based PageRank for Web Personalization
DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams
An Evaluation of Approaches to Classification Rule Selection
Predicting Blogging Behavior Using Temporal and Social Networks
Region Classification with Decision Trees
Exploiting Hierarchical Structures for POI Recommendation
Bayesian Optimization in Weakly Specified Search Space
Diagnosing Similarity of Oscillation Trends in Time Series
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors
On Analyzing Job Hop Behavior and Talent Flow Networks
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs
Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams
Remarks to Logical Aspects of Measures of Interestingness of Association Rules
AdaBoosting Clusters on Graph Neural Networks
Mining Surveillance Video for Independent Motion Detection
An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains
Text Categorization with Considering Temporal Patterns of Term Usages
Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media
Active Learning with Generalized Queries
Pest-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest Detection
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases
TweeLoc: A System for Geolocalizing Tweets at Fine-Grain
Mining Associations by Linear Inequalities
Can Neural Networks Distinguish High-school Level Mathematical Concepts?
Using Wikipedia for Co-clustering Based Cross-Domain Text Classification
Discovery of Interesting Association Rules from Livelink Web Log Data
Community Detection Based on Structure and Content: A Content Propagation Perspective
Mining Spatial Co-occurrence of Drought Events from Climate Data of India
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums
Pattern Discovery in High Dimensional Binary Data
StreamDL: Deep Learning Serving Platform for AMI Stream Forecasting
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
Active Selection of Sensor Sites in Remote Sensing Applications
Semi-supervised Feature Importance Evaluation with Ensemble Learning
Cross-Platform Modeling of Users' Behavior on Social Media
A Practical Differentially Private Random Decision Tree Classifier
BOFE: Anomaly Detection in Linear Time Based on Feature Estimation
Text Clustering via Constrained Nonnegative Matrix Factorization
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis
A Wasserstein Subsequence Kernel for Time Series
MMFE: Multitask Multiview Feature Embedding
Selection of Related Stocks using Financial Text Mining
Improving Similarity Join Algorithms Using Fuzzy Clustering Technique
Detection of Residents' Abnormal Behaviour by Analysing Energy Consumption of Individual Households
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks
A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction
Interactive Multi-task Relationship Learning
Full spectrum opinion mining: integrating domain, syntactic and lexical knowledge
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits
Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems
Multi-objective Explanations of GNN Predictions
A general framework for mining concept-drifting data streams with evolvable features
Automatic Visual Analysis of Real-World Events Covered By Social Media Using Convolutional Neural Networks
An Exploration of Large Language Models for Verification of News Headlines
A Log-Linear Model with Latent Features for Dyadic Prediction
Risk Factors Identification for Heart Disease in Unstructured Dataset using Deep Learning Approach
Generating Diverse Realistic Data Sets for Episode Mining
A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting
Software Process Simulation Based on Mining Software Repositories
Attribute Reduction Based on Multi-objective Decomposition-Ensemble Optimizer with Rough Set and Entropy
A Novel Parallel Boolean Approach for Discovering Frequent Itemsets
Recursive Multi-step Time Series Forecasting by Perturbing Data
Text Feature Selection Based on Class Subspace
LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction
Learning to Group Web Text Incorporating Prior Information
Metric-Free Individual Fairness with Cooperative Contextual Bandits
Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention
What Sperner Family Concept Class is Easy to Be Enumerated?
Overlapping Clustering with Sparseness Constraints
AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models
Text Document Categorization by Term Association
To be or Not to be Friends: Exploiting Social Ties for Venture Investments
Efficient Pattern-Based Time Series Classification on GPU
LbR: A New Regression Architecture for Automated Feature Engineering
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID
Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding
Network Simplification with Minimal Loss of Connectivity
Adapting SVM Classifiers to Data with Shifted Distributions
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches
RSM: An Explainable Predictive Sales Route Selector
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps
Automated Storytelling Evaluation and Story Chain Generation
UnTangle: Visual Mining for Data with Uncertain Multi-labels via Triangle Map
Stacked Gaussian Process Learning
SNOC: Streaming Network Node Classification
Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse
Overcoming the Curse of Dimensionality in a Statistical Geometry Based Computational Protein Mutagenesis
Discovering Gatherings Based on Individual Mobility Patterns: Challenges and Direction
Scalable Block Scheduling for Efficient Multi-database Record Linkage
A New Index for Computer Science Conferences and Its Applications: The S-Index
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Semi-supervised Hierarchical Clustering
Graph-based Adversarial Online Kernel Learning with Adaptive Embedding
Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module
A Feature Set for Neural Texture Video Detection Based on Scenes and Textures
Collaborative Multi-domain Sentiment Classification
Online Spectral Learning on a Graph with Bandit Feedback
COSMIC: Conceptually Specified Multi-Instance Clusters
Social Answer: A System for Finding Appropriate Sites for Questions in Social Media
Domain Adaptation for Online ECG Monitoring
A High-Dimensional Set Top Box Ad Targeting Algorithm Including Experimental Comparisons to Traditional TV Algorithms
A Literature Review on Mining Cyberthreat Intelligence from Unstructured Texts
Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing
IIFE: Interaction Information Based Automated Feature Engineering
Learning with Inadequate and Incorrect Supervision
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams
Predicting Clinical Phenotype Using OTU-Based Metagenome Representation
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification
Supervised Classification of Satellite Images with Spatially Inaccurate Training Field Data
SeAlM: A Query Cache Optimization Technique for Next Generation Sequence Alignment
On Incorporating Subjective Interestingness Into the Mining Process
An Extensive Empirical Study on Semi-supervised Learning
Finding Maximal Frequent Itemsets over Online Data Streams Adaptively
Unsupervised Clustering In Streaming Data
Active Matrix Completion
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market
A Sorted Neighborhood Approach to Multidimensional Privacy Preserving Blocking
Outlier Detection Using Inductive Logic Programming
Affine and Regional Dynamic Time Warping
Cut Tree Construction from Massive Graphs
Hierarchical Bayesian Models for Collaborative Tagging Systems
IGNiteR: News Recommendation in Microblogging Applications
GAN+ABM to Simulate Suspicious Money Laundering Trajectories
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning
Text Mining in Radiology Reports
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
A Broad Learning Approach for Context-Aware Mobile Application Recommendation
A Content Analysis of Patient-Reported Medication Outcomes on Social Media
Bayesian Data Mining on the Web with B-Course
Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks
An L-infinity Norm Visual Classifier
What Makes an Open Source Code Popular on Git Hub?
Modeling Temporal Adoptions Using Dynamic Matrix Factorization
Cost-Free Learning for Support Vector Machines with a Reject Option
Data Mining in the Age of Curation
Robust Cost-Sensitive Confidence-Weighted Classification
A Learned Approach to Index Algorithm Selection
Web Cartography for Online State Promotion: An Algorithm for Clustering Web Resources
Hospitality Exchange Services as a Source of Spatial and Social Data?
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data
Kernel Conditional Clustering
Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems
Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory
Trended DTW Based on Piecewise Linear Approximation for Time Series Mining
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation
On Generating All Optimal Monotone Classifications
Consequences of Variability in Classifier Performance Estimates
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding
Maximizing the Diversity of Exposure in a Social Network
Discovery of Causal Rules Using Partial Association
CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection
Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths
Automatically Spotting Information-Rich Nodes in Graphs
Active Spectral Clustering
Change Detection with Probabilistic Models on Persistence Diagrams
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network
TeGViz: Distributed Tera-Scale Graph Generation and Visualization
A Polygonal Line Algorithm based Nonlinear Feature Extraction Method
Unsupervised Spatial Data Mining for Smart Homes
Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning
Semantic Image Retrieval Based on Multiple-Instance Learning
I-CARS: An Interactive Context-Aware Recommender System
SHADE: Deep Density-based Clustering
Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships
Regression Techniques for Modelling Conception in Seasonally Calving Dairy Cows
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Detection and Exploration of Outlier Regions in Sensor Data Streams
Vertex Centric Asynchronous Belief Propagation Algorithm for Large-Scale Graphs
Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context
From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data
IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events
An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users
A Novel Approach for Influence Maximization Based on Clonal Selection Theory in Social Networks
IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015
CSI: Charged System Influence Model for Human Behavior Prediction
Ensemble Modeling Through Multiplicative Adjustment of Class Probability
Spectral Keyboard Streams: Towards Effective and Continuous Authentication
TAN: A Tripartite Alignment Network Enhancing Composed Image Retrieval with Momentum Distillation
Factorizing Complex Discrete Data "with Finesse"
Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer
First Index-Free Manifold Ranking-Based Image Retrieval with Output Bound
Mining Complex Time-Series Data by Learning Markovian Models
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes
Cluster Based Core Vector Machine
Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning
Recommending Packages to Groups
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
A Formal Model for User Preference
Prediction and Interpretation of Vacancy Duration in Rental Properties Using Geographic Data
Serialized Interacting Mixed Membership Stochastic Block Model
A Hypergraph-based Method for Discovering Semantically Associated Itemsets
Evolutionary Multi-model Federated Learning on Malicious and Heterogeneous Data
Local Low-Rank Hawkes Processes for Temporal User-Item Interactions
Unsupervised Deep Subgraph Anomaly Detection
Hubness as a Case of Technical Algorithmic Bias in Music Recommendation
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation
Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies
Risk Mining: Company-Risk Identification from Unstructured Sources