yusuke1997/dblp-id-title huggingface dataset:
A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images
TSP: Mining Top-K Closed Sequential Patterns
Named Entity Disambiguation Leveraging Multi-aspect Information
Feedback Decision Transformer: Offline Reinforcement Learning With Feedback
Fair Decision-making Under Uncertainty
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle
Spatio-Temporal Symbolization of Multidimensional Time Series
Predictive Models for Early Detection of Hoax Spread in Twitter
The Meme Ranking Problem: Maximizing Microblogging Virality
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
Model Driven Engineering for Data Miners Simulation
Discovering Flow Anomalies: A SWEET Approach
Terra Populus: Integrated Data on Population and Environment
ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009
Efficient Discovery of Common Substructures in Macromolecules
Supervised Link Prediction Using Multiple Sources
Generalized Expansion Dimension
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
Concept Mining via Embedding
Spatial Clustering of Chimpanzee Locations for Neighborhood Identification
Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness
Attribution of Conversion Events to Multi-channel Media
Postprocessing Decision Trees to Extract Actionable Knowledge
Multi-stream Join Answering for Mining Significant Cross-Stream Correlations
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
Full Perfect Extension Pruning for Frequent Graph Mining
Deep Technology Tracing for High-Tech Companies
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences
Cluster Cores and Modularity Maximization
Mining Arabic Business Reviews
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization
Development of a New Method for Data Mining Based Rough Set Theory
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis
Mapping Gene/Protein Names in Free Text to Biomedical Databases
Succinct Matrix Approximation and Efficient k-NN Classification
Challenges and Interesting Research Directions in Associative Classification
Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations
AutoLearn - Automated Feature Generation and Selection
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics
Graded Multilabel Classification by Pairwise Comparisons
Zonal Co-location Pattern Discovery with Dynamic Parameters
Efficient Behavior Targeting Using SVM Ensemble Indexing
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines
Direct Discovery of High Utility Itemsets without Candidate Generation
Fast LMNN Algorithm through Random Sampling
Geo-Social Clustering of Places from Check-in Data
Improving object detection in paintings based on time contexts
On Regional Association Rule Scoping
Determining the Training Window for Small Sample Size Classification with Concept Drift
Towards a Framework for Detecting and Managing Opinion Contradictions
Infrequent Purchased Product Recommendation Making Based on User Behaviour and Opinions in E-commerce Sites
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift
Cross-Mining Binary and Numerical Attributes
Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining
BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage Structure
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK
uRule: A Rule-Based Classification System for Uncertain Data
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
Learning Network Representations with Neighboring Affinity
Multi-view Outlier Detection in Deep Intact Space
Computing Frequent Graph Patterns from Semistructured Data
Reputation-Based Ranking Systems and Their Resistance to Bribery
Building Text Classifiers Using Positive and Unlabeled Examples
ESOA Algorithm Based on learning rate optimization in Convolutional neural networks
Pedestrian Detection Using Privileged Information
Robust Multi-View Feature Selection
Large-Scale Unusual Time Series Detection
Profit Maximization Analysis Based on Data Mining and the Exponential Retention Model Assumption with Respect to Customer Churn Problems
Extending Semi-supervised Learning Methods for Inductive Transfer Learning
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series
Random Walk with Restart over Dynamic Graphs
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction
Data Mining in Railway Defect Image Based on Object Detection Technology
Non-negative Matrix Factorization on Manifold
Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine
Non-stationary Imbalanced Data Stream Classification with Weighted One-Class Ensemble
Extraction of Volitional Utterances from Japanese Local Political Corpus
Improved and Scalable Bradley-Terry Model for Collaborative Ranking
Influence-Aware Group Recommendation for Social Media Propagation
Differentially Private Histogram Publishing through Lossy Compression
A Computational Approach to Style in American Poetry
Metric Ranking of Invariant Networks with Belief Propagation
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Regulatory Element Discovery Using Tree-structured Models
Co-clustering of Lagged Data
Learning Task Relational Structure for Multi-task Feature Learning
Direct Marketing When There Are Voluntary Buyers
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining
Kernel K-means Based Framework for Aggregate Outputs Classification
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning
Deep Learning Ethereum Token Price Prediction with Network Motif Analysis
A Short-Term Cryptocurrency Price Movement Prediction Using Centrality Measures
Predicting Current User Intent with Contextual Markov Models
Analyzing Abnormal Events from Spatio-temporal Trajectories
External Evaluation of Topic Models: A Graph Mining Approach
Active Sampling for Feature Selection
The Prominent Role of Probe Data and Big Data in Modern Technology
Rule Mining for Correcting Classification Models
Improving Your Graph Neural Networks: A High-Frequency Booster
Simultaneous Semi-NMF and PCA for Clustering
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data
Differentially Private Mixture of Generative Neural Networks
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel
Clustering by Shift
Extracting Author Meta-Data from Web Using Visual Features
Constructing a Hierarchical User Interest Structure Based on User Profiles
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing
The PARIS Algorithm for Determining Latent Topics
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles
A General Cross-Domain Recommendation Framework via Bayesian Neural Network
A Greedy Algorithm for Selecting Models in Ensembles
estMax: Tracing Maximal Frequent Itemsets over Online Data Streams
JobSense: A Data-Driven Career Knowledge Exploration Framework and System
Taming Wild High Dimensional Text Data with a Fuzzy Lash
A Retweet Number Prediction Model Based on Followers' Retweet Intention and Influence
Model-Based Approaches for Independence-Enhanced Recommendation
EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection
Dimension Reduction on Open Data Using Variational Autoencoder
Soft Graph Matching: Submodular Relaxation and Lovász Extension
DUSC: Dimensionality Unbiased Subspace Clustering
Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric
Clan-Based Cultural Algorithm for Feature Selection
GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning
Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence
GLSVM: Integrating Structured Feature Selection and Large Margin Classification
Sequential Block Elimination for Dynamic Pricing
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
A Reinforcement Learning Framework for Explainable Recommendation
Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules
SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence
Mining User Mobility Features for Next Place Prediction in Location-Based Services
Incremental Mining of Frequent Query Patterns from XML Queries for Caching
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network
Classification of Temporal and Sequential Data Using Bag-of-Subsequences Features
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
A Novel Bayesian Ensemble Pruning Method
Collective Latent Dirichlet Allocation
Density Estimation Based on Mass
IIRank: A Novel Algorithm for Identifying Influencers in Micro-Blog Social Networks
Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets
Dependencies between Transcription Factor Binding Sites: Comparison between ICA, NMF, PLSA and Frequent Sets
Using spatial data and cluster analysis to automatically detect non-trivial relationships between environmental transgressors
Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams
A Novel Ranking Algorithm for Service Matching Based on Agent Association Graphs
On Dense Subgraphs in Signed Network Streams
EC3: Combining Clustering and Classification for Ensemble Learning
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation
Space-Efficient Feature Maps for String Alignment Kernels
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs
Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
Learning Local Components to Understand Large Bayesian Networks
Sparse Online Relative Similarity Learning
Population Synthesis via k-Nearest Neighbor Crossover Kernel
Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit
BDVFL: Blockchain-based Decentralized Vertical Federated Learning
Native Language Identification for Russian
Mining Decision Trees from Data Streams in a Mobile Environment
delta-Tolerance Closed Frequent Itemsets
AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics
Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities
Learning Attitudes and Attributes from Multi-aspect Reviews
Toward Representation Independent Analytics over Structured Data
An Online Algorithm for Segmenting Time Series
Dual-Domain Hierarchical Classification of Phonetic Time Series
A Mixed-State Streaming Edge Partitioning based on Combinatorial Design
Binarized attributed network embedding
Structure Aware Loss for Deep Unsupervised Industrial Image Registration
Linguistic Knowledge Application to Neuro-Symbolic Transformers in Sentiment Analysis
A Machine Reading Comprehension-Based Approach for Featured Snippet Extraction
Bootstrap Confidence Intervals in DirectLiNGAM
Sharing Classifiers among Ensembles from Related Problem Domains
Binary Matrix Factorization with Applications
MinerLSD: Efficient Local Pattern Mining on Attributed Graphs
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems
A fast incremental spectral clustering algorithm with cosine similarity
Inline DGA Detection with Deep Networks
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
Feature Selection for Clustering - A Filter Solution
AARS: A novel adaptive archive-based efficient counting method for machine learning applications
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes
Tree-based Kendall's τ Maximization for Explainable Unsupervised Anomaly Detection
Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
Modeling Adoptions and the Stages of the Diffusion of Innovations
Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions
Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction
LogGC: Novel Approach for Graph-based Log Anomaly Detection
Applying Conditional Independence Maps to Improve Sepsis Prognosis
Mining Data from Multiple Software Development Projects
An Automatic Illustration Recommendation System
Twitter Keyword Volume, Current Spending, and Weekday Spending Norms Predict Consumer Spending
MDL for Causal Inference on Discrete Data
Efficient Data Representation by Selecting Prototypes with Importance Weights
Recommendation on Item Graphs
GPU-Accelerated Query by Humming Using Modified SPRING Algorithm
Source Inference Attacks in Federated Learning
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results
Time Series Anomaly Detection using Diffusion-based Models
Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles
FacetsViewer: A Tool for Multi-faceted Decomposition of Complex Networks
Understanding of Internal Clustering Validation Measures
Healing Sample Selection Bias by Source Classifier Selection
Partial Multi-label Learning using Label Compression
Partial Elastic Matching of Time Series
A Discovery System for Finding High-Value Homes
Learning from Multi-Class Positive and Unlabeled Data
Sentiment Polarity Classification Using Statistical Data Compression Models
Quantification Trees
Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting
Incremental Learning of Bayesian Networks with Hidden Variables
DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases
Historical Data Integration a Study of WWI Canadian Soldiers
From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding
LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time
Finding the Best Job Applicants for a Job Posting: A Comparison of Human Resources Search Strategies
NaviSoc: A Socially Enhanced Real-Time Navigator
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
Distributed Web Mining Using Bayesian Networks from Multiple Data Streams
Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction
Incremental Subspace Clustering over Multiple Data Streams
Robust Product Rating Rules Against Herding Effects: Theory and Applications
Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing
Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement Learning
Unsupervised User Identity Linkage via Factoid Embedding
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams
Traveling Salesman in Reverse: Conditional Markov Entropy for Trajectory Segmentation
Actionable Knowledge Discovery for Threats Intelligence Support Using a Multi-dimensional Data Mining Methodology
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis
AD-MAD: Automated Development and Optimization of Online Advertising Campaigns
Exploring Business Opportunities from Mobile Service Data of Customers Using Inter-cluster Analysis
Data Envelopment Analysis Assessment Machine
LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023
Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis
Anti-Noise Muiti-View Feature Selection With Sample Constraints
Finding Representative Set from Massive Data
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks
Generalized Additive Models from a Neural Network Perspective
Feature Selection Algorithms: A Survey and Experimental Evaluation
Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization
Mining Ontological Knowledge from Domain-Specific Text Documents
High Quality True-Positive Prediction for Fiscal Fraud Detection
Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases
Robust Local Scaling Using Conditional Quantiles of Graph Similarities
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank
A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks
Automatically Extracting Dialog Models from Conversation Transcripts
Distributed Representations for Content-Based and Personalized Tag Recommendation
Spatiotemporal Event Detection in Mobility Network
A Regularized Multiple Criteria Linear Program for Classification
Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences
A Novel System for Extracting Useful Correlation in Smart Home Environment
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network
Direct Robust Matrix Factorizatoin for Anomaly Detection
Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series
airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts
A System Design Method Based on Interaction between Logic and Data Sets
Learning a Combination of Dissimilarities from a Set of Equivalence Constraints
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting
A Better Classifier Based on Rough Set and Neural Network for Medical Images
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System
A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Adaptive Distances on Sets of Vectors
Collaborative Filtering with Social Local Models
Using Frequent Closed Itemsets for Data Dimensionality Reduction
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding
Restructuring of Hoeffding Trees for Trapezoidal Data Streams
Toward Time-Evolving Feature Selection on Dynamic Networks
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR
A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning
Heterogeneous Hyper-Network Embedding
Telecom Fraud Detection Based on Feature Binning and Autoencoder
Discovering Robustly Connected Subgraphs with Simple Descriptions
Differentially Private Regression Diagnostics
Sentiment-Based Identification of Radical Authors (SIRA)
FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer
Alternative Ruleset Discovery to Support Black-box Model Predictions
Finding Constrained Frequent Episodes Using Minimal Occurrences
Incremental Support Vector Machine Construction
Ternary Matrix Factorization
Query-Driven Support Pattern Discovery for Classification Learning
Representing Networks with 3D Shapes
Crowdsourcing Based API Search via Leveraging Twitter Lists Information
Concordance Learning with Spectral Decay on Triplet Similarity
A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions
A Multi -level Alignment Training Scheme for Video-and-Language Grounding
Towards Achieving Diagnostic Consensus in Medical Image Interpretation
Towards the Integration of Constrained Mining with Star Schemas
Identifying HotSpots in Lung Cancer Data Using Association Rule Mining
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast
A Secure Clustering Algorithm for Distributed Data Streams
Data-Driven Immunization
Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing
Visual-VM: A Social Network Visualization Tool for Viral Marketing
Transitional Patterns and Their Significant Milestones
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation
A Walk from 2-Norm SVM to 1-Norm SVM
Direct Mining of Subjectively Interesting Relational Patterns
Realization of Data Exchange and Utilization Society by Blockchain and Data Jacket: Merit of Consortium to Accelerate Co-Creation
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph
Clustering Events on Streams Using Complex Context Information
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization
Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets
Above Ground Biomass Estimation of a Cocoa Plantation using Machine Learning
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics
Accelerating Experimental Design by Incorporating Experimenter Hunches
Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum
Toward Solving Domain Adaptation with Limited Source Labeled Data
Classifying Spam Emails Using Text and Readability Features
Mobile Phone Graph Evolution: Findings, Model and Interpretation
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
Student-t Based Robust Spatio-temporal Prediction
Email Engagement Segmentation Using Bipartite Graph Co-clustering
A Logical Formulation of the Granular Data Model
Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization
Improving Collaborative Filtering Recommendations Using External Data
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams
Parametric Templates: A New Enzyme Active-Site Prediction Algorithm
Learning via Social Preference: A Coarse-to-Fine Training Strategy for Style Transfer Systems
Geofences on the Blockchain: Enabling Decentralized Location-Based Services
Cross-Modal Zero-Shot Hashing
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?
Automatically Mining Result Records from Search Engine Response Pages
A mining method of communities keeping tacit knowledge
Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions
Methodology for Large-Scale Entity Resolution without Pairwise Matching