yusuke1997/dblp-id-title huggingface dataset:
Scalable Privacy-Preserving Linking of Multiple Databases Using Counting Bloom Filters
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling
Mining patterns for proactive management of procure-to-pay exceptions
Outlier Detection in Urban Traffic Flow Distributions
Differential Geometric Retrieval of Deep Features
Exploring Approaches for Teaching Cybersecurity and AI for K-12
Context-Aware Online Spatiotemporal Traffic Prediction
Comparisons of Classification Methods for Screening Potential Compounds
Local Discriminative Distance Metrics and their Real World Applications
Immigration Document Classification and Automated Response Generation
Estimating Individual Treatment Effects with Time-Varying Confounders
DGCC: A Case for Integration of Brain Cognition and Intelligence Computation
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
A Constraint Programming Approach for Enumerating Motifs in a Sequence
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier
Confidence in Predictions from Random Tree Ensembles
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction
Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification
Web Site Recommendation Using HTTP Traffic
Hierarchical Density-Based Clustering of Uncertain Data
MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations
Combining Feature Context and Spatial Context for Image Pattern Discovery
Bi-relational Network Analysis Using a Fast Random Walk with Restart
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis
Continuous KNN Join Processing for Real-Time Recommendation
Influence Maximization on Hypergraphs via Similarity-based Diffusion
Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction
Location Recommendations for New Businesses Using Check-in Data
Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier Ensembles
Complementary Aspect-Based Opinion Mining Across Asymmetric Collections
Revisiting Spectral Graph Clustering with Generative Community Models
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection
Multi-modal Chinese Fake News Detection
Algorithms for Spatial Outlier Detection
Low-Rank Sparse Feature Selection for Patient Similarity Learning
Early Classification of Ongoing Observation
A Data Mining Approach for Capacity Building of Stakeholders in Integrated Flood Management
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Transfer Learning via Cluster Correspondence Inference
Using Rough Sets Theory and Database Operations to Construct a Good Ensemble of Classifiers for Data Mining Applications
Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
PerturBoost: Practical Confidential Classifier Learning in the Cloud
Record2Vec: Unsupervised Representation Learning for Structured Records
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior
Automatic Keyword Extraction Using Linguistic Features
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery
Buzzer Detection and Sentiment Analysis for Predicting Presidential Election Results in a Twitter Nation
Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates
Privacy-Preserving Data Imputation
Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow
Jackknifing Documents and Additive Smoothing for Naive Bayes with Scarce Data
Approximate Record Matching Using Hash Grams
A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification
Graph Summarization with Quality Guarantees
An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise
Subspace Selection for Clustering High-Dimensional Data
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions
Co-clustering for Binary and Categorical Data with Maximum Modularity
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors
Figure Retrieval in Biomedical Literature
Drug Vector Minimization in Cancer Therapy Based on Boolean Logic Model of Gene Regulatory Network
Fast Frequent Free Tree Mining in Graph Databases
Efficient Dense Structure Mining Using MapReduce
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction
Mining Associated Implication Networks: Computational Intermarket Analysis
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation
Identify malfunctions and their possible causes using rules, application to process mining
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
A Weighted SOM for Classifying Data with Instance-Varying Importance
Patent Citation Recommendation for Examiners
Network Intrusion Detection by Multi-group Mathematical Programming based Classifier
Co-ranking Authors and Documents in a Heterogeneous Network
On the Interest of Data Mining for an Integrity Assessment of AIS Messages
Multi-view Feature Selection for Heterogeneous Face Recognition
Identifying Recurrent and Unknown Performance Issues
Significance Tests for Patterns in Continuous Data
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum
Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach
Mining Closed Strict Episodes
Asymmetric Polysemous Reasoning for Image-Text Matching
CrsKGC-RSAN: Conflict Resolution Strategy for Knowledge Graph Completion
An Improved Model for Depression Detection in Micro-Blog Social Network
A Heterogeneous Field Matching Method for Record Linkage
Robust Automated Human Activity Recognition and Its Application to Sleep Research
Analysis of Textual Variation by Latent Tree Structures
Attribute (Feature) Completion - The Theory of Attributes from Data Mining Prospect
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study
Spell: Streaming Parsing of System Event Logs
Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA
EGRET: Extortion Graph Exploration Techniques in the Bitcoin Network
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions
Exploring Interestingness Through Clustering: A Framework
AutoClustering: A Feed-Forward Neural Network Based Clustering Algorithm
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach
Reliable Gender Prediction Based on Users' Video Viewing Behavior
An Efficient Algorithm for Mining High Utility Quantitative Itemsets
Constructing $\epsilon$-Constrained Sparsified $\beta^{s}$-Complexes using Space Partitioning Trees
Robust Computational Method for Identification of miRNA-mRNA Modules in Cervical Cancer
Statistical Inference of Protein "LEGO Bricks"
Handling Ambiguity via Input-Output Kernel Learning
Parsing Without a Grammar: Making Sense of Unknown File Formats
Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation
Semantic Log Analysis Based on a User Query Behavior Model
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction
Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining
Frame as a Clue to Intention of Data: Toward New Product Ideas with Framed Components
Structural-Context Similarities for Uncertain Graphs
Focused Community Discovery
Learning the Group Structure of Deep Neural Networks with an Expectation Maximization Method
Controlling Attribute Effect in Linear Regression
Analyzing the Proximity and Interactions of Friends in Communities in Gowalla
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged Modeling
Genre Categorization of Web Pages
On Local Spatial Outliers
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers
Andragogy Meets ChatGPT in Lifelong Learning: Exploring Opportunities and Challenges
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain
Efficient Network Embedding by Approximate Equitable Partitions
Citation Prediction Using Diverse Features
A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data
Self-Taught Active Learning from Crowds
Tree-Like Structure in Large Social and Information Networks
Augmenting Knowledge Transfer across Graphs
A New Markov Model for Clustering Categorical Sequences
Incremental Learning with Support Vector Machines
Multi-task Learning for Bayesian Matrix Factorization
Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets
Stability Region Based Expectation Maximization for Model-based Clustering
Zero-shot Object Detection Through Vision-Language Embedding Alignment
Calculation and Applications of Bayesian Evidence in Astrophysics and Particle Physics Phenomenology
Interpretations of Association Rules by Granular Computing
Towards Combining Structured Pattern Mining and Graph Kernels
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
Accurate Classification of Biological Data Using Ensembles
Pattern Mining over Star Schemas in the Onto4AR Framework
Hibernating Process: Modelling Mobile Calls at Multiple Scales
Tag-Weighted Dirichlet Allocation
Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges
Retweet Modeling Using Conditional Random Fields
Learning Credible Deep Neural Networks with Rationale Regularization
Crowdsourced Correlation Clustering with Relative Distance Comparisons
Learning Semantic Similarity for Very Short Texts
Towards Active Learning on Graphs: An Error Bound Minimization Approach
A K-NN Associated Fuzzy Evidential Reasoning Classifier with Adaptive Neighbor Selection
Algorithms for Large, Sparse Network Alignment Problems
Predictors Extraction in Time Series Using Authorities-Hubs Ranking
Sales Forecasting of IT Products Using a Hybrid MARS and SVR Model
Bayesian Overlapping Subspace Clustering
Discrimination Aware Decision Tree Learning
Drift Detection Using Uncertainty Distribution Divergence
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash
Understanding the Impact of Label Granularity on CNN-Based Image Classification
Novel Exact and Approximate Algorithms for the Closest Pair Problem
Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining
Metric Factorization for Exploratory Analysis of Complex Data
A Survey on Semantic Segmentation
Min-Max Hash for Jaccard Similarity
Canonical Correlation Analysis for Detecting Changes in Network Structure
Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications
Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items
A Block Mixture Model for Pattern Discovery in Preference Data
C 3 -GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks
Entropy-based Concept Shift Detection
Topic Models with Topic Ordering Regularities for Topic Segmentation
IEEE ICDM 2010 Contest: Traffic Prediction -- Jams
Structure-based Knowledge Tracing: An Influence Propagation View
A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity
H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure
Provably Robust Node Classification via Low-Pass Message Passing
VERIPS: Verified Pseudo-label Selection for Deep Active Learning
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
EdgeCentric: Anomaly Detection in Edge-Attributed Networks
Bug Localization via Supervised Topic Modeling
Approximate Search on Massive Spatiotemporal Datasets
Exceptionally Monotone Models - The Rank Correlation Model Class for Exceptional Model Mining
Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous Chemicals
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search
Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers
Investigation of Simulated Annealing Cooling Schedule for Mobile Recommendations
Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them)
Cost Effective Multi-label Active Learning via Querying Subexamples
Utilitarian Online Learning from Open-World Soft Sensing
Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks
M-estimation in Low-Rank Matrix Factorization: A General Framework
Mining Distance-Based Outliers from Categorical Data
Clustering Approach for Multidimensional Recommender Systems
Edge Weight Prediction in Weighted Signed Networks
Stereotypical Motor Movement Detection in Dynamic Feature Space
COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity
DCF: An Efficient and Robust Density-Based Clustering Method
Road Speed Profiling for Upfront Travel Time Estimation
Sequential Diagnosis Prediction with Transformer and Ontological Representation
Wisdom of Crowds: Single Image Super-resolution from the Web
Application of Graph-based Data Mining to Metabolic Pathways
Influence-Based Network-Oblivious Community Detection
Detecting Topics from Twitter Posts During TV Program Viewing
Towards Mining Trapezoidal Data Streams
Tensor Based Relations Ranking for Multi-relational Collective Classification
Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis
Twitter Stance Detection - A Subjectivity and Sentiment Polarity Inspired Two-Phase Approach
SLIM: Sparse Linear Methods for Top-N Recommender Systems
Spectral Subspace Clustering for Graphs with Feature Vectors
Accessible Health Screening Using Body Fat Estimation by Image Segmentation
Blockchain-based Reputation Management Scheme for the Internet of Vehicles
Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression
Data Exchange Platform to Fight Insurance Fraud on Blockchain
Micro-blogging Sentiment Detection by Collaborative Online Learning
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
The Hybrid Poisson Aspect Model for Personalized Shopping Recommendation
Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking
On Identifying and Analyzing Significant Nodes in Protein-Protein Interaction Networks
Predicting Software Escalations with Maximum ROI
Mining User Lifecycles from Online Community Platforms and their Application to Churn Prediction
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
Random Histogram Forest for Unsupervised Anomaly Detection
Learning to Combine Ad-hoc Ranking Functions for Image Retrieval
Temporal Logic TL ^Z_ {DU} Modeling Local and Global Discovery with Logical Uncertainty
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree
Computing Optimal Assignments in Linear Time for Approximate Graph Matching
On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data
Extended Goal Graph: A Support Tool for Discovering Conflicts among Stakeholders and Promoting Requirements Elicitation with Goal Orientation
Cultivating Evolving Region Trajectory Datasets
Learnable Structural Semantic Readout for Graph Classification
Assessing Data Mining Results on Matrices with Randomization
An Examination of Multivariate Time Series Hashing with Applications to Health Care
Linear Causal Model Discovery Using the MML criterion
Deep Stable Representation Learning on Electronic Health Records
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries
A General Framework for Publishing Privacy Protected and Utility Preserved Graph
Isolation Forest
Semi-supervised Multi-task Learning with Task Regularizations
Personalized Anonymization for Set-Valued Data by Partial Suppression
A General and Scalable Approach to Mixed Membership Clustering
Fast Spectral Clustering with Landmark-Based Subspace Iteration
Discovering Thematic Patterns in Videos via Cohesive Sub-graph Mining
Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns
Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs
Bi-Level Rare Temporal Pattern Detection
High-Dimensional Data Stream Classification via Sparse Online Learning
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation
Towards Practical Explainability with Cluster Descriptors
Which Outlier Detector Should I use?
Relation Structure-Aware Heterogeneous Graph Neural Network
Context-Aware Sequential Recommendation
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
A Large Scale URL Verification Pipeline Using Hadoop
Head and Neck Cancer Detection in Histopathological Slides
Visualization Method Based on Contour Map
Community Dynamics and Analysis of Decadal Trends in Climate Data
Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning
TOFA: Trace Oriented Feature Analysis in Text Categorization
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks
The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion
Mining the Web with Active Hidden Markov Models
Personalising Mobile Advertising Based on Users' Installed Apps
A Triple-Random Ensemble Classification Method for Mining Multi-label Data
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation
Two approaches of using heavy tails in high dimensional EDA
Dataset Recommendation via Variational Graph Autoencoder
Optimization Approaches for Semi-Supervised Multiclass Classification
Towards Structural Sparsity: An Explicit l2/l0 Approach
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market
Towards a Particle Swarm Optimization-Based Regression Rule Miner
A Variance Reduction Framework for Stable Feature Selection
Targeting Television Audiences Using Demographic Similarity
Ontologies Improve Text Document Clustering
A New SVM Approach to Multi-instance Multi-label Learning
MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification
Deep Convolutional Factor Analyser for Multivariate Time Series Modeling
GaDei: On Scale-Up Training as a Service for Deep Learning
Tractable Group Detection on Large Link Data Sets
Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems
NoPeek: Information leakage reduction to share activations in distributed deep learning
Creating Essential Hypothesis and Rules in Product Planning - Introducing Abductive Inference Model
Privacy-Preserving Multi-task Learning
Predicting Links in Multi-relational and Heterogeneous Networks
A Multi-armed Bandit Approach to Cost-Sensitive Decision Tree Learning
Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating
End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation
On Big Wisdom
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 9-12 December 2002, Maebashi City, Japan
Combining Self-labeling with Selective Sampling
A Pairwise Covariance-Preserving Projection Method for Dimension Reduction
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Message from the ICDM 2022 Program Committee Chairs
Uncovering Potential Attribute Relevance via MIA-Processing in Data Mining
TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging
Stream Sequential Pattern Mining with Precise Error Bounds
On Mean-Optimal Robust Linear Discriminant Analysis
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective
Privacy-Preserving SimRank over Distributed Information Network
Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding
SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm
Overlapping Matrix Pattern Visualization: A Hypergraph Approach
Multi-purpose Recommender Platform using Perceiver IO
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering
TKC: Mining Top-K Cross-Level High Utility Itemsets
Holistic Entity Clustering for Linked Data
Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation
Inferred Social Networks: A Case Study
Deep Learning for Pulmonary Nodule CT Image Retrieval - An Online Assistance System for Novice Radiologists
Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability
A Case Study on Classification Reliability
Anisotropic Knowledge Empowers Efficient Recommender System through Generative-Mapping Representation Learning
ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets
Reinforced Molecule Generation with Heterogeneous States
Bit Reduction Support Vector Machine
Deep Knowledge Tracing with Learning Curves
Non-local Patch Mixup for Unsupervised Domain Adaptation
Semi-Supervised Consensus Clustering: Reducing Human Effort
Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method
Mobile E-Commerce Data Processing Using Relational Memory
Predicting MRT Trips in Singapore by Creating a Mobility Behavior Model Based on GSM Data
Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering
Deep Cooperative Reconstruction with Security Constraints in multi-view environments
Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances
Neighborhood Spatio-temporal Self-Attention for Crowd Flow Prediction
Longitudinal Sales Responses with Online Reviews
Isometric Multi-manifold Learning for Feature Extraction
Unsupervised Segmentation of Categorical Time Series into Episodes
RnR: Extracting Rationale from Online Reviews and Ratings
Deep Attention Q-Network for Personalized Treatment Recommendation
Foundations of Perturbation Robust Clustering
AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring
A Random Walk through Human Associations
Learning Dirichlet Processes from Partially Observed Groups
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
An Impact Study of Concept Drift in Federated Learning