yusuke1997/dblp-id-title huggingface dataset:
Learning Functional Dependency Networks Based on Genetic Programming
Detecting Fractures in Classifier Performance
Trading Tests of Long-Term Market Forecast by Text Mining
Cocktail Ensemble for Regression
Mixed-Membership Stochastic Block-Models for Transactional Networks
Distributed Big Advertiser Data Mining
Meta Clustering
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality
Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays
Temporary Staffing Services: A Data Mining Perspective
Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques
An Evaluation of Progressive Sampling for Imbalanced Data Sets
An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data
Valuation of Data through Use-Scenarios in Innovators' Marketplace on Data Jackets
Apollo: Near-Duplicate Detection for Job Ads in the Online Recruitment Domain
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection
Opinion Dynamics Incorporating Higher-Order Interactions
Can Active Learning Experience Be Transferred?
Bayesian Deep Convolution Belief Networks for Subjectivity Detection
Clustering with Partition Level Side Information
Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity
ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Improving Out-of-Domain Sentiment Polarity Classification Using Argumentation
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium
Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020
Causal Associative Classification
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes
Stock Price Analysis Using Combination of Analyst Reports and Several Documents
Rapid Identification of Column Heterogeneity
Analysis of Subsequence Time-Series Clustering Based on Moving Average
Multi-typed Objects Multi-view Multi-instance Multi-label Learning
Improving Knowledge Tracing Model by Integrating Problem Difficulty
GRAPHITE: A Visual Query System for Large Graphs
Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification
Alpha Galois Lattices
A Regularized Wasserstein Framework for Graph Kernels
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites
Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem
Discovering Functional Communities in Social Media
Efficient Attribute Reduction with Submodular Function Optimization
Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching
Efficient Distributed Algorithms for Minimum Spanning Tree in Dense Graphs
Persona-Based Conversational AI: State of the Art and Challenges
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
Aspect Sentiment Model for Micro Reviews
Online Estimation of Discrete Densities
Early Fire Detection Based on Local Morphological Knowledge Matching
Word Sense Discovery for Web Information Retrieval
Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization
Model Personalization with Static and Dynamic Patients' Data
Discovery of Collocation Episodes in Spatiotemporal Data
Design of Neural Network-based Boost Charging for Reducing the Charging Time of Li-ion Battery
Citation Style Classification: a Comparison of Machine Learning Approaches
Domain Driven Data Mining (D3M)
Active Learning from Data Streams
Semantic Features for Food Image Recognition with Geo-Constraints
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification
Requirements Definition with Extended Goal Graph
Algorithms on Discretizing Continuous Attributes Values and Its Application to Synthetical Test and Evaluation of Patent Strength
Twin Gaussian Processes for Binary Classification
Connecting Sparsely Distributed Similar Bloggers
TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection
Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis
Scalable Influence Maximization in Social Networks under the Linear Threshold Model
A Hybrid Approach for Emotion Detection in Support of Affective Interaction
Low Rank Metric Learning with Manifold Regularization
Learning-Based Method with Valence Shifters for Sentiment Analysis
Integrating E-Commerce and Data Mining: Architecture and Challenges
Fast Sparse Coding Inference with Historical Information
Fast and Accurate Time Series Classification Through Supervised Interval Search
IceCube: Efficient Targeted Mining in Data Cubes
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain
Learning Personal Conscientiousness from Footprints in E-Learning Systems
Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference
Mining Data Streams with Labeled and Unlabeled Training Examples
A Residual Convolution Neural Network for Sea Ice Classification with Sentinel-1 SAR Imagery
A New Fast Minimum Spanning Tree-Based Clustering Technique
Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
Multirelational Topic Models
Extracting Entities and Events from Cyber-Physical Security Incident Reports
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks
NameIt: Extraction of product names
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
CoMine: Efficient Mining of Correlated Patterns
Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement
Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification
Conditional Anomaly Detection with Soft Harmonic Functions
A Multiple Classifier System for Classifying Life Events on Social Media
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
A Novel Knowledge-Based Twin Support Vector Machine
Spatiotemporal Relational Random Forests
Towards Visualizing Hidden Structures
Learning Local and Global Multi-context Representations for Document Classification
Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data
Laplacian SVM for Learning from Label Proportions
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
LiSense: Monitoring City Street Lighting During Night using Smartphone Sensors
How Game Users Consume Virtual Currency: The Relationship Between Consumed Quantity, Inventory, and Elapsed Time Since Last Consumption in the Mobile Game World
Efficient Mining and Exploration of Multiple Axis-Aligned Intersecting Objects
Summarizing Graphs at Multiple Scales: New Trends
Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery
Better Rules, Few Features: A Semantic Approach to Selecting Features from Text
Frequent Instruction Sequential Pattern Mining in Hardware Sample Data
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis
Learning Doubly Stochastic Affinity Matrix via Davis-Kahan Theorem
Co-training by Committee: A New Semi-supervised Learning Framework
A Deep Neural Network Approach to Tracing Paths in Cybersecurity Investigations
Database Integrated Analytics Using R: Initial Experiences with SQL-Server + R
Discovering Frequent Poly-Regions in DNA Sequences
A Border-Based Approach for Hiding Sensitive Frequent Itemsets
Reliable Knowledge Discovery with a Minimal Causal Model Inducer
Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization
A New Data Mining Model for Hurricane Intensity Prediction
Application of Adversarial Examples in Communication Modulation Classification
Station Site Optimization in Bike Sharing Systems
LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours
JMesh - A Scalable Web-Based Platform for Visualization and Mining of Passive Acoustic Data
Generating Structural Node Representations via Higher-order Features and Adversarial Learning
Efficient Clustering of Uncertain Data
Towards Efficient Discovery of Target High Utility Itemsets
From Convex to Nonconvex: A Loss Function Analysis for Binary Classification
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining
The Optimal Distribution of Electric-Vehicle Chargers across a City
On Utility of Temporal Embeddings in Skill Matching
Protecting Sensitive Knowledge By Data Sanitization
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs
Diffusion in Networks with Overlapping Community Structure
A Network-Based Approach to Enhance Electricity Load Forecasting
Concept Based Short Text Stream Classification with Topic Drifting Detection
Improving Object Detection with Relation Mining Network
Modeling Personalized Out-of-Town Distances in Location Recommendation
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Dataset Selection for Controlling Swarms by Visual Demonstration
Discrete Overlapping Community Detection with Pseudo Supervision
Temporal Data Mining in AI-based Patient Navigation Service
Qualitative Spatial Structure in Complex Areal Objects Using Location-Free, Mobile Geosensor Networks
TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks
Provably Fast Training Algorithms for Support Vector Machines
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
AGILE: A General Approach to Detect Transitions in Evolving Data Streams
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length
KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction
Discovering Partial Orders in Binary Data
Variance Minimization Least Squares Support Vector Machines for Time Series Analysis
Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation
DhakaNet: Unstructured Vehicle Detection using Limited Computational Resources
Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection
Boosting Object Detection Ensembles with Error Diversity
Performance Evaluation of Features and Clustering Algorithms for Malware
Capped l 2, 1 -Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning
A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text Classification
Multiscale Analysis of Supply Network at Central Region in Japan
Efficient and Time Scale-Invariant Detection of Correlated Activity in Communication Networks
A Conservative Feature Subset Selection Algorithm with Missing Data
Designing and Evaluating an Index for Graph Structured Data
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks
A Randomized Approach for Crowdsourcing in the Presence of Multiple Views
Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing
Functional Regression with Mode-Sparsity Constraint
Automated Essay Evaluation Augmented with Semantic Coherence Measures
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models
NESVM: A Fast Gradient Method for Support Vector Machines
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks
A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption
Change with Delayed Labeling: When is it Detectable?
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis
Robust BiPoly-Matching for Multi-Granular Entities
A mixed integer linear programming approach for soft graph clustering
Efficient discovery of time series motifs with large length range in million scale time series
EL-VIT: Probing Vision Transformer with Interactive Visualization
On Enabling Machine Learning Tasks atop Public Blockchains: A Crowdsourcing Approach
PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series
HP-GMN: Graph Memory Networks for Heterophilous Graphs
Projection Dual Averaging Based Second-order Online Learning
Modeling and Management of Signal Transduction Pathways with Live Sequence Charts
An Extenics-Based Criteria Clustering Method
A Social Matching System for an Online Dating Network: A Preliminary Study
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules
Automatic Personalized Health Insurance Recommendation Based on Utility and User Feedback
Deep Fuzzy Clustering with Weighted Intra-class Variance and Extended Mutual Information Regularization
A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017
Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization
Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases
Generative Correlation Discovery Network for Multi-label Learning
Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition
Bucket Learning: Improving Model Quality through Enhancing Local Patterns
Graph Mining for Complex Data Analytics
A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams
Global Distribution of Watches: A Network Analysis of Trade Relations
Region-Based Querying of Solar Data Using Descriptor Signatures
Balancing and Contrasting Biased Samples for Debiased Visual Question Answering
Aware Environment for Workshop with Game Storming
The Deployment of MML for Data Analytics over the Cloud
A Generative Spatial Clustering Model for Random Data through Spanning Trees
Data Mining Geophysical Content from Satellites and Global Climate Models
Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms
What is the Value of Experimentation & Measurement?
Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis
IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018
Deep Minimax Probability Machine
Coresets remembered and items forgotten: submodular maximization with deletions
Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Bi-Level Attention Graph Neural Networks
Anomaly Detection in Time Series using Generative Adversarial Networks
Online Reliability Estimates for Individual Predictions in Data Streams
Clustering Ensemble and Application in HST Dataset
Automated Machine Learning Techniques in Prognostics of Railway Track Defects
LNBC: A Link-Based Naive Bayes Classifier
Finite Mixture Models for an underlying zero-one inflated Beta Distribution
Computational Television Advertising
Classification through Maximizing Density
Content-Based Methods for Predicting Web-Site Demographic Attributes
Hierarchical Text Categorization in a Transductive Setting
Understanding the Personality of Contributors to Information Cascades in Social Media in Response to the COVID-19 Pandemic
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Online Social Behavior in Twitter: A Literature Review
How to Determine the Necessary Knowledge in the Conflicting Situation?
Adaptive Affinity Learning for Accurate Community Detection
Designing Sketches for Similarity Filtering
Toward Finding Hidden Communities Based on User Profile
Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models]
Independent Feature and Label Components for Multi-label Classification
An Efficient Sequential Pattern Mining Algorithm Based on the 2-Sequence Matrix
A Simple Yet Effective Data Clustering Algorithm
Detecting and Tracking Community Dynamics in Evolutionary Networks
Cyberbullying Detection using Time Series Modeling
Language-Based Enforcement of Access Constraints on Geoscientific Image Data
Failure Prediction in IBM BlueGene/L Event Logs
Discovering Gender Discrimination in Project Funding
Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition
U-Net Transfer Learning for Image Restoration on Sparse CT Reconstruction in Pre-Clinical Research
Counterfactual Explanation for Regression via Disentanglement in Latent Space
Mining Local Staircase Patterns in Noisy Data
Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class
TEFE: A Time-Efficient Approach to Feature Extraction
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data
Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks
Greedy is not Enough: An Efficient Batch Mode Active Learning Algorithm
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data
Rule Cubes for Causal Investigations
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams
Fuzzy-Granular Gene Selection from Microarray Expression Data
Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections
Improving Sentiment Classification Using Feature Highlighting and Feature Bagging
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks
Distributed Matrix Completion
Toward Interpretable Graph Neural Networks via Concept Matching Model
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data
Community Attention Network for Semi-supervised Node Classification
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
Formal Classifier of a Rhythmic Structure Model for Inference about Linguistic Text Properties
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification
A Probabilistic Ensemble Pruning Algorithm
Online Induction of Probabilistic Real Time Automata
MLI: An API for Distributed Machine Learning
Bagging with Adaptive Costs
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks
Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast
Adversarial Precision Sensing with Healthcare Applications
Network Anomaly Detection Using a Commute Distance Based Approach
A Virtual Research Environment to Support Remote Behaviour Monitoring from Data Collection to Analysis
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data
Uncovering the Spatio-temporal Structure of Social Networks Using Cell Phone Records
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data
Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation
Time-Aware Ranking in Dynamic Citation Networks
Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge
Aerial Robots On the Way to Underground: An Experimental Evaluation of VINS-Mono on Visual-Inertial Odometry Camera
A Practical System for Privacy-Preserving Collaborative Filtering
Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning
Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach
A Data Stream Mining System
Online Deep Knowledge Tracing
Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
A Feature Selection and Evaluation Scheme for Computer Virus Detection
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems
Adaptive Blocking: Learning to Scale Up Record Linkage
Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks
D-CARS: A Declarative Context-Aware Recommender System
Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation
A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
Extensible Query Framework for Unstructured Medical Data - A Big Data Approach
RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Maximum Margin Clustering on Data Manifolds
Influencing Factors in Achieving Active Ageing
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
Example-Based Robust Outlier Detection in High Dimensional Datasets
Extracting Knowledge to Predict TSP Asymptotic Time Complexity
Detecting Flow Anomalies in Distributed Systems
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework
An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis
Extraction of Discriminative Features from Hyperspectral Data
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing
Discovering Relevant Reviews for Answering Product-Related Queries
LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations
KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM Capabilities
ALPOS: A Machine Learning Approach for Analyzing Microblogging Data
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks
Interaction as an Interestingness Measure
ExploreKit: Automatic Feature Generation and Selection
PaGAN: Generative Adversarial Network for Patent understanding
Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction
T-Trees, Vertical Partitioning and Distributed Association Rule Mining
Implementation of a Least Fixpoint Operator for Fast Mining of Relational Databases
Characterizing Entities in the Bitcoin Blockchain
On Effective Conceptual Indexing and Similarity Search in Text Data
Diffusion of Information in Social Networks: Is It All Local?