yusuke1997/dblp-id-title huggingface dataset:
Why do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion
On Mining General Temporal Association Rules in a Publication Database
Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques
MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment Analysis
A Comparative Study of Linear and Nonlinear Feature Extraction Methods
Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length
An Account Selection Model for Identifying Valuable zkSync Users
Learning Student Interest Trajectory for MOOC Thread Recommendation
Time Series Methodology in STORJ Token Prediction
Clustering with the Levy Walk: "Hunting" for Clusters
Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion
Multiple-Instance Regression with Structured Data
Learning User Preferences across Multiple Aspects for Merchant Recommendation
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance
LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale Networks
Configurable Analytics Framework for Management of Enterprise IT Systems
Random Features and Random Neurons for Brain-Inspired Big Data Analytics
Interactive Higher-Order Network Analysis
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation
Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance Organization
High-Speed Function Approximation
A Max-Min Approach for Hiding Frequent Itemsets
Sequential Pattern Mining in Multiple Streams
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions
n Ranking Refinements in the Step-by-Step Searching through a Product Catalogue
Multi-Modal Sarcasm Detection via Dual Synergetic Perception Graph Convolutional Networks
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
A New Forecasting Framework for Bitcoin Price with LSTM
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length
Entity Recommendation Via Integrating Multiple Types of Implicit Feedback in Heterogeneous Information Network
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery
Association Bundle - A New Pattern for Association Analysis
Center-Based iPSC Colony Counting with Multi-Task Learning
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
Making Subsequence Time Series Clustering Meaningful
A Pattern-Based Mining System for Exploring Displacement Field Time Series
EXAD: A System for Explainable Anomaly Detection on Big Data Traces
Detecting and Characterizing Trends in Online Mental Health Discussions
Scalable and Memory-Efficient Clustering of Large-Scale Social Networks
Gradual Model Generator for Single-Pass Clustering
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds
How Does Research Evolve? Pattern Mining for Research Meme Cycles
How Out-of-Distribution Data Hurts Semi-Supervised Learning
A hybrid-Lp-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm
Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks
Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book
Performing Co-membership Attacks Against Deep Generative Models
SVD for Very Large Matrices: An Approach with Polar Decomposition and Polynomial Approximation
Non-redundant Multi-view Clustering via Orthogonalization
Learning Compatibility Across Categories for Heterogeneous Item Recommendation
Selecting Machine Learning Algorithms Using Regression Models
Fairness Perception from a Network-Centric Perspective
Heterogenous Information Network Embedding Based Cross-Domain Recommendation System
A Hierarchy Method Based on LDA and SVM for News Classification
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing
Sequential Model-Free Hyperparameter Tuning
A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction
Collaborative Translational Metric Learning
Impulse-Response Model for Human Behaviors Sequences
Prescriptive Analytics for Allocating Sales Teams to Opportunities
New Robust Clustering Model for Identifying Cancer Genome Landscapes
Clash of the Contagions: Cooperation and Competition in Information Diffusion
Differentially Private String Sanitization for Frequency-Based Mining Tasks
Multilabel Consensus Classification
Semantic-Rich Markov Models for Web Prefetching
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN
Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data
Bayesian Folding-In with Dirichlet Kernels for PLSI
Mining Unstructured Text at Gigabyte per Second Speeds
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks
HierCon: Hierarchical Organization of Technical Documents Based on Concepts
Metric Rule Generation with Septic Shock Patient Data
A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow
Unsupervised Graph-Based Anomaly Detection Using Variational Autoencoder
Multi-Task Time Series Forecasting With Shared Attention
Space Efficient String Mining under Frequency Constraints
Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery
Rule-Based Platform for Web User Profiling
Students Temporal Profiling and e-Learning Resources Recommendation Based on NLP's Terms Extraction
A Two-Stream Network For Driving Hand Gesture Recognition
Learning Hierarchically Decomposable Concepts with Active Over-Labeling
Analyzing High-Dimensional Data by Subspace Validity
IP2Vec: Learning Similarities Between IP Addresses
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields
Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
Text Mining for Hypotheses and Results in Translational Medicine Studies
Text Segmentation on Multilabel Documents: A Distant-Supervised Approach
Causal Effect Prediction with Flow-based Inference
Cross-Domain Web Image Annotation
Detecting Novel Discrepancies in Communication Networks
A new implementation technique for fast Spectral based document retrieval systems
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs
A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions
Invariant Factor Graph Neural Networks
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model
Discourse Processing and Its Applications in Text Mining
A Compact Representation of Spatio-Temporal Data
Impression Allocation and Policy Search in Display Advertising
Sentiment Prediction in Social Networks
WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach
Interpreting or Describing? Measuring Verb Abstraction
The PDD Framework for Detecting Categories of Peculiar Data
Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods
Graph Community Augmentation with GMM-Based Modeling in Latent Space
Training Conditional Random Fields Using Transfer Learning for Gesture Recognition
Transfer Metric Learning for Unseen Domains
Wavelet-Based Data Perturbation for Simultaneous Privacy-Preserving and Statistics-Preserving
Skewed Class Distributions and Mislabeled Examples
Scalable Online-Offline Stream Clustering in Apache Spark
Semantic Annotation and Services for KDD Tools Sharing and Reuse
SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social Media
WARP: Time Warping for Periodicity Detection
AWDA: An Adaptive Wishart Discriminant Analysis
Homotopy Regularization for Boosting
A Joint Model for Topic-Sentiment Evolution over Time
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation
A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning
Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification in Pedestrians Behaviors
Reporting L Most Favorite Objects in Uncertain Databases with Probabilistic Reverse Top-k Queries
Efficient Distributed MST Based Clustering for Recommender Systems
Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection
Handling New Class in Online Label Shift
An Aggressive Graph-Based Selective Sampling Algorithm for Classification
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
From Social User Activities to People Affiliation
Outlier-Robust Multi-View Subspace Clustering with Prior Constraints
The Joint Inference of Topic Diffusion and Evolution in Social Communities
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems
Topic Distributions over Links on Web
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning
Discovering Organizational Correlations from Twitter
Social Recommendation with Missing Not at Random Data
Kernel-Based Feature Extraction for Collaborative Filtering
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression
HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning
Extension of Partitional Clustering Methods for Handling Mixed Data
Dictionary Pair-based Data-Free Fast Deep Neural Network Compression
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Motif-Level Robustness Analysis of Power Grids
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory
HiGIL: Hierarchical Graph Inference Learning for Fact Checking
Multi-level Feedback Web Links Selection Problem: Learning and Optimization
FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree
Mining Online Users? Access Records for Web Business Intelligence
Mining Billion-node Graphs: Patterns, Generators and Tools
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
Large Scale Detection of Irregularities in Accounting Data
Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore
Valuation of Partly Disclosed Datasets for Prediction
Behavioral graph fraud detection in E-commerce
Discovering Non-redundant Overlapping Biclusters on Gene Expression Data
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment
How Shoppers Walk and Shop in a Supermarket
Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining
Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation
Collaborative Inference of Coexisting Information Diffusions
Constructing Ensembles for Better Ranking
Modifying Hamming Spaces for Efficient Search
Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis
Delta B+ Tree: Indexing 3D Point Sets for Pattern Discovery
Extraction of Interpretable Multivariate Patterns for Early Diagnostics
A Preference Model for Structured Supervised Learning Tasks
Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer Classification
Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach
Towards a Reliable Framework of Uncertainty-Based Group Decision Support System
Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems
enList: Automatically Simplifying Privacy Policies
Analysis of Consensus Partition in Cluster Ensemble
Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks
Topic Discovery for Short Texts Using Word Embeddings
Mining Correlated Pairs of Patterns in Multidimensional Structured Databases
Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling
Boosting for Vote Learning in High-Dimensional kNN Classification
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning
"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance
Efficient Determination of Dynamic Split Points in a Decision Tree
Geographically Robust Hotspot Detection: A Summary of Results
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization
Online AUC Optimization for Sparse High-Dimensional Datasets
A Game Theoretical Model for Adversarial Learning
Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction
Privacy Preserving Classification with Emerging Patterns
Efficient Semi-supervised Spectral Co-clustering with Constraints
Smoothed Hinge Loss and ℓ1 Support Vector Machines
Optimizing the Multiclass F-Measure via Biconcave Programming
Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts
An Interpretable Data Embedding under Uncertain Distance Information
A new optimization criterion for generalized discriminant analysis on undersampled problems
Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining
Accurate Product Name Recognition from User Generated Content
A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts
A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation
Mining Individual Mobile User Behavior on Location and Interests
Identifying Warning Behaviors of Violent Lone Offenders in Written Communication
Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform
TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering
Sparse Coding for Efficient Bioacoustic Data Mining: Preliminary Application to Analysis of Whale Songs
Generative Oversampling with a Contrastive Variational Autoencoder
Scattering Decomposition for Massive Signal Classification: From Theory to Fast Algorithm and Implementation with Validation on International Bioacoustic Benchmark
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy
CARSKit: A Java-Based Context-Aware Recommendation Engine
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
Dimensionality, Discriminability, Density and Distance Distributions
An AdaBoost Algorithm for Multiclass Semi-supervised Learning
Cleansing Noisy Data Streams
Catching a Viral Video
Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction
Citation Recommendation with a Content-Sensitive DeepWalk Based Approach
An Adaptive Learning Approach for Noisy Data Streams
Probabilistic Matrix Factorization-based Three-stage Label Completion for Crowdsourcing
Recover Fine-Grained Spatial Data from Coarse Aggregation
Predicting Sports Scoring Dynamics with Restoration and Anti-Persistence
Discovery of Quantitative Sequential Patterns from Event Sequences
Learning Weighted Naive Bayes with Accurate Ranking
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples
FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets
Optimizing Performance Measures for Feature Selection
A Hybrid Data-Mining Approach in Genomics and Text Structures
Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data
AQA: Aspect-based Opinion Question Answering
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation
Subjective Bayes Method for Word Semantic Similarity Measurement
Session-Based Recommendation with Local Invariance
Generalizing the Notion of Confidence
Incorporating User Provided Constraints into Document Clustering
Boosting Deep Ensemble Performance with Hierarchical Pruning
Clustering and Classification of Like-Minded People from their Tweets
Federated Principal Component Analysis for Genome-Wide Association Studies
Multilevel Belief Propagation for Fast Inference on Markov Random Fields
A Novel Differential Privacy Recommendation Method Based on a Distributed Framework
A Parallel and Efficient Algorithm for Learning to Match
Visualization of Rule's Similarity using Multidimensional Scaling
Automatic Detection and Analysis towards Malicious Behavior in IoT Malware
Consensus Clusterings
Projective Clustering Ensembles
Adaptive Loss-aware Modulation for Multimedia Retrieval
ADOD: Adaptive Density Outlier Detection
Dynamic Similarity Search on Integer Sketches
Combining Active Learning and Semi-Supervised Learning by Using Selective Label Spreading
Mining Personal Context-Aware Preferences for Mobile Users
Goal-Guided Generative Prompt Injection Attack on Large Language Models
Warm-Starting Contextual Bandits Under Latent Reward Scaling
Efficient and Accelerated Online Learning for Sparse Group Lasso
Batch Mode Sparse Active Learning
12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012
WEFEST: Word Embedding Feature Extension for Short Text Classification
HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation
Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction
Text Clustering Based on Good Aggregations
Mining Association Rules from Stars
Mining Top-K Frequent Closed Patterns from Gene Expression Data
Modeling and Predicting the Helpfulness of Online Reviews
Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach
Robust Unsupervised Domain Adaptation from A Corrupted Source
Multi-class imbalanced semi-supervised learning from streams through online ensembles
Deep Learning to Hash with Multiple Representations
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks
The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector
Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Relational Peculiarity Oriented Data Mining
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects
A TSICN-based Inferential Synthesis Method for Class Imbalance in Credit Scoring
Feature-Induced Partial Multi-label Learning
Co-Training for Demographic Classification Using Deep Learning from Label Proportions
Multi-Class L2, 1-Norm Support Vector Machine
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles
Partitionable Kernels for Mapping Kernels
A Tight Upper Bound on the Number of Candidate Patterns
Is Topotecan Effective at Killing Cancer Cells?
Time-Aware Latent Hierarchical Model for Predicting House Prices
On Anomalous Hotspot Discovery in Graph Streams
Ensemble Kernel Mean Matching
Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems
Considerations on Fairness-Aware Data Mining
A Neural Networks Approach for Software Risk Analysis
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
Event Grounding from Multimodal Social Network Fusion
Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data
Hypergraph Ego-networks and Their Temporal Evolution
Welcome Message from the Conference Chairs
Benchmark Generator for Dynamic Overlapping Communities in Networks
Action Rules for Sentiment Analysis on Twitter Data Using Spark
A Hidden Challenge of Link Prediction: Which Pairs to Check?
Persistent Homology on Streaming Data
Fuzzy Sentiment Membership Determining for Sentiment Classification
An Accuracy-and-Diversity-based Ensemble Method for Concept Drift and Its application in Fraud Detection
Enhancing Stock Price Prediction with a Hybrid Approach Based Extreme Learning Machine
Addressing Concept-Evolution in Concept-Drifting Data Streams
Outlier Ranking via Subspace Analysis in Multiple Views of the Data
Oasis: Online Analytic System for Incivility Detection and Sentiment Classification
Weighted Spectral Cluster Ensemble
Transfer Learning across Networks for Collective Classification
Proximal Classifier via Absolute Value Inequalities
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
Detecting Interesting Exceptions from Medical Test Data with Visual Summarization
Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations
Parallel Multi-task Learning
Image Generation Framework for Unbalanced License Plate Data Set
BaT: Beat-aligned Transformer for Electrocardiogram Classification
Structural Combination of Neural Network Models
Time-Aware User Identification with Topic Models
User Authentication Method using FIDO based Password Management for Smart Energy Environment
Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement
Hashtag Graph Based Topic Model for Tweet Mining
A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain
Reliable Clustering on Uncertain Graphs
Accelerating Exact Similarity Search on CPU-GPU Systems
Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming : Can We Predict Vegetation Types from Environmental Variables?
Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification
Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization
Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis
Evolving Extended Naive Bayes Classifiers
Grading Tumor Malignancy via Deep Bidirectional LSTM on Graph Manifold Encoded Histopathological Image
Outlier Detection in Arbitrarily Oriented Subspaces
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
An Augmented Vector Space Information Retrieval for Recovering Requirements Traceability
An Information Extraction Method from Different Structural Web Sites by Word Distances between a User Instantiated Label and Similar Entity