yusuke1997/dblp-id-title huggingface dataset:
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge
Compression-Based Graph Mining Exploiting Structure Primitives
Supervised Tensor Learning
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials
Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators
Time-Sensitive Route Planning Using Location-Based Data
Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals
Modeling the Temporal Dynamics of Social Rating Networks Using Bidirectional Effects of Social Relations and Rating Patterns
Discriminative Category Matching: Efficient Text Classification for Huge Document Collections
Clustering Documents with Active Learning Using Wikipedia
Supervised Latent Semantic Indexing for Document Categorization
Latency Minimizing Tasking for Information Processing Systems
Mining Image Features for Efficient Query Processing
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
Text Knowledge Mining: An Alternative to Text Data Mining
Sentiment Analysis on Climate Change for Sustainable Investment
A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results
A Low Rank Weighted Graph Convolutional Approach to Weather Prediction
Learning Deep Networks from Noisy Labels with Dropout Regularization
OpenWGL: Open-World Graph Learning
Activity Detection from Email Meta-Data Clustering
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model
Robust Ensemble Clustering by Matrix Completion
Unfair AI: It Isn't Just Biased Data
Learning to Extract Entity Uniqueness from Web for Helping User Decision Making
Time Series Analysis for Bitcoin Transactions: The Case of Pirate@40's HYIP Scheme
Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation
Spatial Clustering Using the Likelihood Function
Enhancing the Stability of Spectral Ordering with Sparsification and Partial Supervision: Application to Paleontological Data
Contractible Regularization for Federated Learning on Non-IID Data
Exploiting Dynamic Privacy in Socially Regularized Recommenders
Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis
Influential Sustainability on Social Networks
GREW-A Scalable Frequent Subgraph Discovery Algorithm
Kernel-based Algorithms and Visualization for Interval Data Mining
Community-Affiliation Graph Model for Overlapping Network Community Detection
Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes
Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Efficient Computation of Pairwise Minimax Distance Measures
Phishing Email Detection Using Robust NLP Techniques
Exploratory Combinatorial Optimization Problem Solving via Gauge Transformation
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
LP-Explain: Local Pictorial Explanation for Outliers
Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced Data
A New Look at Compressed Ordinary Least Squares
Classification and Clustering: A Perspective toward Risk Mining
Extracting Communities from Complex Networks by the k-dense Method
The Phantom Steering Effect in Q&A Websites
Method for Extraction of Purchase Behavior and Product Character Using Dynamic Topic Model
E2VQ: Enabling Expressive, Efficient, and Verifiable Queries over Blockchain Databases
A Semantic Kernel for Semi-structured DocumentS
An Improved Genetic k-means Algorithm for Optimal Clustering
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
SOPS: Stock Prediction Using Web Sentiment
Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network
A Paraphrase Identification Approach in Paragraph Length Texts
ICA model estimation using a mixed learning rule based on genetic algorithms and neural networks
Efficient Integrity Verification for Outsourced Collaborative Filtering
Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs)
Heterogeneous Representation Learning with Structured Sparsity Regularization
Network Clustering via Maximizing Modularity: Approximation Algorithms and Theoretical Limits
DQN-based Join Order Optimization by Learning Experiences of Running Queries on Spark SQL
Dynamic Graph Collaborative Filtering
AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery
Incremental constrained clustering with application to remote sensing images time series
Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis
Frequent Subgraph Retrieval in Geometric Graph Databases
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications
Efficient Iterative Semi-supervised Classification on Manifold
Diversity-Aware Recommendation by User Interest Domain Coverage Maximization
Homology-Separating Triangulated Euler Characteristic Curve
Outcomes Prediction via Time Intervals Related Patterns
TopicSketch: Real-Time Bursty Topic Detection from Twitter
Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Clustering on Demand for Multiple Data Streams
A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Enhancing Techniques for Efficient Topic Hierarchy Integration
Multi-aspect Mining of Complex Sensor Sequences
Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses
Fair Adversarial Gradient Tree Boosting
Food Sales Prediction: "If Only It Knew What We Know"
A Scalable and Extensible Blockchain Architecture
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare
Compressing Random Forests
Tectonic Shifts in Television Advertising
Reducing False Positives of User-to-Entity First-Access Alerts for User Behavior Analytics
Large Scale Kernel Methods for Online AUC Maximization
A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora
Effective Large-Scale Online Influence Maximization
EnD: Enhanced Dedensification for Graph Compressing and Embedding
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning
Fast Counting of Triangles in Large Real Networks without Counting: Algorithms and Laws
A Convex Formulation for Graph Convolutional Training: Two Layer Case
A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering
Query-Efficient Black-Box Attack by Active Learning
Topological Data Analysis for Portfolio Management of Cryptocurrencies
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
Geodesic Based Semi-supervised Multi-manifold Feature Extraction
Modeling Dynamic Substate Chains among Massive States for Prediction
A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network
Clustering Tandem Repeats via Trinucleotides
Concept-Aware Ranking: Teaching an Old Graph New Moves
Word Cloud Model for Text Categorization
Graph Neighborhood Routing and Random Walk for Session-based Recommendation
Adding Semantics to Email Clustering
Cross-Domain Recommendation via Tag Matrix Transfer
Semi-supervised Learning from General Unlabeled Data
Active Density-Based Clustering
Automatic Taxonomy Extraction from Bipartite Graphs
Web Mining for Understanding Stories through Graph Visualisation
Spatio-Temporal Topic Models for Check-in Data
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy
Constraint-Based Pattern Mining in Dynamic Graphs
Attacking Similarity-Based Sign Prediction
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
An Online Retrieval Question Answering System for Featured Snippets Triggering
DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding
Exploiting Class Bias for Discovery of Topical Experts in Social Media
Convex Non-negative Matrix Factorization in the Wild
Depth-Based Novelty Detection and Its Application to Taxonomic Research
VIF Regression: A Fast Regression Algorithm for Large Data
Clinical Decision Making: A Framework for Predicting Rx Response
Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels
Principal Component Analysis and Clustering Based Indoor Localizaion
Adslot Mining for Online Display Ads
Interoperability-Enriched App Recommendation
Semi-Supervised Clustering with Metric Learning Using Relative Comparisons
Properties of the First Type of Covering-Based Rough Sets
Prototype Propagation Clustering Based on Large Margin
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution
Electric Energy Demand Forecasting with Explainable Time-series Modeling
A Link Prediction Method That Can Learn from Network Dynamics
Naive Bayes Classification of Uncertain Data
Mining Public Transport Usage for Personalised Intelligent Transport Systems
Mining Statistically Significant Attribute Associations in Attributed Graphs
Robust Structure-aware Semi-supervised Learning
Physics-Informed Graph Learning
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining
Hierarchical Ensemble Clustering
Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities
Rethinking Local Community Detection: Query Nodes Replacement
Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences
Enumeration of Time Series Motifs of All Lengths
Semantic Visualization Support for Innovators Marketplace on Data Jackets
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal
Using Unlabeled Data for US Supreme Court Case Classification
TextServer: Cloud-Based Multilingual Natural Language Processing
HyperTime: A Dynamic Hypergraph Approach for Time Series Classification
A Unified Gradient Regularization Family for Adversarial Examples
Heterogeneous Learner for Web Page Classification
Privacy-Preserving Outlier Detection
Clustering Evolving Batch System Jobs for Online Anomaly Detection
Data Management System based on Blockchain Technology for Agricultural Supply Chain
Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization
Prerequisite-Driven Deep Knowledge Tracing
An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018
Evaluating Association Rules by Quantitative Pairwise Property Comparisons
Dissecting Regional Weather-Traffic Sensitivity Throughout a City
Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation
Mining Protein Sequence Databases for Remote Homologues That Can Display Considerable Domain Length Variations
Spatial and Temporal Analysis of Planet Scale Vehicular Imagery Data
A Fast Inference Algorithm for Stochastic Blockmodel
Efficient Indexing for Mobile Image Retrieval
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows
Next POI Recommender System: Multi-view Representation Learning for Outstanding Performance in Various Context
CLIM: Closed Inclusion Dependency Mining in Databases
Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing
Graph Transfer Learning
Dirichlet Mixture Allocation for Multiclass Document Collections Modeling
Data analysis and processing for spatio-temporal forecasting
Discovery of Functional Relationships in Multi-Relational Data using Inductive Logic Programming
Comparing SVD and SDAE for Analysis of Islamist Forum Postings
Rules Extraction from Multiple Decisions Ordered Information Tables
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions
A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation
VASE: A Twitter-Based Vulnerability Analysis and Score Engine
Social Intimacy Based IoT Services Mining of Massive Data
Diverse Topic Phrase Extraction through Latent Semantic Analysis
A Probabilistic View of Neighborhood-Based Recommendation Methods
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification
TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting
HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs
Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit
Rank Supervised Contrastive Learning for Time Series Classification
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show
LeapDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation
Identifying Markov Blankets with Decision Tree Induction
NAG: Neural feature aggregation framework for credit card fraud detection
Adaptive Differentially Private Data Release for Data Sharing and Data Mining
Secure Distributed k-Anonymous Pattern Mining
Understanding Discrete Classifiers with a Case Study in Gene Prediction
User Feedback and Uncertainty in User Guided Binarization
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation
Metropolis Algorithms for Representative Subgraph Sampling
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization
An Analysis of Performance Measures for Binary Classifiers
Mining Indecisiveness in Customer Behaviors
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks
Exploring Patient Risk Groups with Incomplete Knowledge
Auditing Black-Box Models for Indirect Influence
Prediction Approach for Ising Model Estimation
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation
Correlation-Based Streaming Anomaly Detection in Cyber-Security
Sequential Pattern Analysis with Right Granularity
Mining Sensor Streams for Discovering Human Activity Patterns over Time
Online Algorithms for Mining Semi-structured Data Stream
Convex Hull Ensemble Machine
RQL: A SQL-Like Query Language for Discovering Meaningful Rules
Interactive Exploration of Model-Based Automatically Extracted Data
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances
Match and Retrieval: Legal Similar Case Retrieval via Graph Matching Network
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
Analyzing Centralities of Embedded Nodes
Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting
Permutation Tests for Studying Classifier Performance
Lazy Stochastic Principal Component Analysis
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis
Understanding the Role of Social Media in Backpacker Tourism
SmartMiner: A Depth First Algorithm Guided by Tail Information for Mining Maximal Frequent Itemsets
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages
Authenticating Web User's Identity through Browsing Sequences Modeling
BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data
Interpretable, Online Soft-Sensors for Process Control
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy
Cascaded Cross Attention for Review-based Sequential Recommendation
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks
Online Hierarchical Clustering in a Data Warehouse Environment
New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning
Interesting Multi-relational Patterns
Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting
Recommendation via Query Centered Random Walk on K-Partite Graph
Cross-Domain Labeled LDA for Cross-Domain Text Classification
Solution Path for Semi-Supervised Classification with Manifold Regularization
Uncertainty Propagation in Node Classification
HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data
k-STARs: Sequences of Spatio-Temporal Association Rules
Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
Data-Driven Job Search Engine Using Skills and Company Attribute Filters
Community Detection with Local Metric Learning
Adapting Surgical Models to Individual Hospitals Using Transfer Learning
Towards Scalable Network Delay Minimization
Boolean Tensor Factorizations
User Value in Modern Payment Platforms: A Graph Approach
Sequence-to-Sequence Model with Attention for Time Series Classification
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The Impact of Environmental Stressors on Human Trafficking
Self-Grouping Multi-network Clustering
Exploration of Dependencies among Sections in a Supermarket Using a Tree-Structured Undirected Graphical Model
Boolean Matrix Factorization for Data with Symmetric Variables
Detecting Blackhole and Volcano Patterns in Directed Networks
Uncoverning Groups via Heterogeneous Interaction Analysis
Foundation Models for Course Equivalency Evaluation
Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation
Enhancing Ubiquitous Systems through System Call Mining
Change Detection in Climate Data over the Iberian Peninsula
Reducing the Frequent Pattern Set
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
Weighted Additive Criterion for Linear Dimension Reduction
signADAM++: Learning Confidences for Deep Neural Networks
Mining Temporal Patterns Without Predefined Time Windows
Enhancing Single-Objective Projective Clustering Ensembles
CRAD: Clustering with Robust Autocuts and Depth
Predicting Water Quality for the Woronora Delivery Network with Sparse Samples
GSML: A Unified Framework for Sparse Metric Learning
Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics
Fast Kernel Sparse Representation Approaches for Classification
Discriminatively Enhanced Topic Models
Enriching Spatial OLAP with Map Generalization: a Conceptual Multidimensional Model
Exhaustive Evaluation of Dynamic Link Prediction
Detecting Multipliers of Jihadism on Twitter
Medical Error Prevention Based on Path Integration System Approach
Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis
Active Feature-Value Acquisition for Classifier Induction
Probabilistic Latent Document Network Embedding
Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest
Privacy-Preserving Queries over Outsourced Data with Access Pattern Protection
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
Mining Frequent Induced Subtree Patterns with Subtree-Constraint
Identities Anonymization in Dynamic Social Networks
Generalized Sparse Additive Model with Unknown Link Function
Analyzing Users' Sentiment Towards Popular Consumer Industries and Brands on Twitter
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter
Adaptive Budget for Online Learning
A Self-Organizing Tensor Architecture for Multi-view Clustering
Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance
Online Model Evaluation in a Large-Scale Computational Advertising Platform
A Generic Graph Sparsification Framework using Deep Reinforcement Learning
Clutter-Adaptive Visualization for Mobile Data Mining
Lexicon Knowledge Extraction with Sentiment Polarity Computation
NNMF-Based Factorization Techniques for High-Accuracy Privacy Protection on Non-negative-valued Datasets
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation
Entity Resolution with Markov Logic
Medical Image De-noising Using Deep Networks
Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery
Resilient K-d Trees: K-Means in Space Revisited
Will I Get in? Modeling the Graduate Admission Process for American Universities
Complex Spatial Relationships
Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges
Dynamic Boolean Matrix Factorizations
You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters
Mining Cursor Motions to Find the Gender, Experience, and Feelings of Computer Users
Applicability of Regression-Tree-Based Synthetic Data Methods for Business Data
How Much Noise Is Too Much: A Study in Automatic Text Classification
Location and Scatter Matching for Dataset Shift in Text Mining
Learning to Sample: An Active Learning Framework
Robust Self-Tuning Sparse Subspace Clustering
Discovering Emerging Topics in Social Streams via Link Anomaly Detection
Mining the Smallest Association Rule Set for Predictions
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering
Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCube
Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Mining
Probabilistic Noise Identification and Data Cleaning
Co-occurrence based predictors for estimating query difficulty
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery
Automated Feature Learning: Mining Unstructured Data for Useful Abstractions
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks
2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes
Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China
Structural Patterns in the Rise of Germany's New Right on Facebook
Tabular Cell Classification Using Pre-Trained Cell Embeddings
Semi-supervised Discriminant Hashing
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering