yusuke1997/dblp-id-title huggingface dataset:
Towards Expressive Graph Representations for Graph Neural Networks
Fact-Preserved Personalized News Headline Generation
A Sparsification Approach for Temporal Graphical Model Decomposition
Mining A Set of Coregulated RNA Sequences
Price Information Patterns in Web Search Advertising: An Empirical Case Study on Accommodation Industry
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing
Rapidly Labeling and Tracking Dynamically Evolving Concepts in Data Streams
Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information Retrieval
Constructing Topic Hierarchies from Social Media Data
Country Interest Analysis Based on Long-Term Short-Term Memory(LSTM) In Decentralized System
ConfDTree: Improving Decision Trees Using Confidence Intervals
Graph Neural Networks with Non-Recursive Message Passing
Rebuilding Trust in Active Learning with Actionable Metrics
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series
Force2Vec: Parallel force-directed graph embedding
Combining Multiple Network Features for Mild Cognitive Impairment Classification
SedanSpot: Detecting Anomalies in Edge Streams
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression
Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring
Customer-Base Sequential Data Analysis: An Application of Attentive Neural Networks to Sales Forecasting
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing
An Efficient and Reliable Tolerance- Based Algorithm for Principal Component Analysis
Enhancing Document Exploration with OLAP
Privacy-Preserving k-NN for Small and Large Data Sets
User Response Driven Content Understanding with Causal Inference
Interpretable Feature Learning of Graphs using Tensor Decomposition
Weakly Supervised Hand Pose Recovery with Domain Adaptation by Low-Rank Alignment
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
Extracting Product Comparisons from Discussion Boards
Visualization of Hospital Services Using Data Mining Methods
Mining Infrequent Causal Associations in Electronic Health Databases
AWS-EP: A Multi-Task Prediction Approach for MBTI/Big5 Personality Tests
GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix
Generalized Learning of Neural Network Based Semantic Similarity Models and Its Application in Movie Search
An Approximation of the Integrated Classification Likelihood for the Latent Block Model
Deep Learning-based Critical Infrastructure Simulation Model for Disaster Monitoring
Measuring Local Topological Anonymity in Social Networks
A Comparative Study of Data Sampling and Cost Sensitive Learning
A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems
Semi-supervised Collaborative Clustering with Partial Background Knowledge
Finding Valuable Yelp Comments by Personality, Content, Geo, and Anomaly Analysis
Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction
Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets
Graph-based Topic Extraction Using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions
Mining Approximate Temporal Functional Dependencies Based on Pure Temporal Grouping
A Cooperative Architecture for Blockchain Federated Mediators from Industry Perspective
A Deep Learning Approach for the Prediction of Retail Store Sales
Monetization and Services on a Real Online Social Network Using Social Network Analysis
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
Predicting the Outcome of Startups: Less Failure, More Success
Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models
Online Testing of Subgroup Treatment Effects Based on Value Difference
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective
High Performance Graph Data Management and Mining with X10
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
On Locally Linear Classification by Pairwise Coupling
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
Web Horror Image Recognition Based on Context-Aware Multi-instance Learning
Using Machine Learning to Accelerate Data Wrangling
Segmenting Sequences of Node-Labeled Graphs
Multi-Stage Classification
Explode: An Extensible Platform for Differentially Private Data Analysis
Partial Multi-view Clustering via Consistent GAN
Transferred Feature Selection
Context Normalization Layer with Applications
Deep Heterogeneous Autoencoders for Collaborative Filtering
SCHISM: A New Approach for Interesting Subspace Mining
Why Naive Ensembles Do Not Work in Cloud Computing
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting
CTC - Correlating Tree Patterns for Classification
Semi-Supervised Kernel Regression
Graph OLAP: Towards Online Analytical Processing on Graphs
Misclassification Minimization Based on Multiple Criteria Linear Programming
Learning a Macroscopic Model of Cultural Dynamics
Learning Career Mobility and Human Activity Patterns for Job Change Analysis
An In-depth Study of Stochastic Kronecker Graphs
MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations
Difference between Similars: A Novel Method to Use Topic Models for Sensor Data Analysis
Robust Binary Classification via ℓ0-SVM
GPS Data Reflect Players' Internal Load in Soccer
Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM
Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees
Using Adaptive Downsampling to Compare Time Series with Warping
Acquissition of Text-Mining Skills for Beginners Using TETDM
A Data Mining Framework for Monitoring Nuclear Facilities
Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution
Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction
What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words
BiCycle: Item Recommendation with Life Cycles
Output Feature Augmented Lasso
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge
Multi-dimensional Mass Estimation and Mass-based Clustering
Sentence-BERT Distinguishes Good and Bad Essays in Cross-prompt Automated Essay Scoring
SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information
Local Community Detection in Dynamic Networks
Context-Aware Multi-instance Learning Based on Hierarchical Sparse Representation
User Profiling Based Deep Neural Network for Temporal News Recommendation
Exploring Reflective Limitation of Behavior Cloning in Autonomous Vehicles
Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn Sensors
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features
A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules
A New Kernel-Based Classification Algorithm
Classifying Biomedical Citations without Labeled Training Examples
TGLib: An Open-Source Library for Temporal Graph Analysis
Graph Regularized Symmetric Non-Negative Matrix Factorization for Graph Clustering
Scaling Disk Failure Prediction via Multi-Source Stream Mining
Experimentation and Self Learning in Continuous Database Marketing
Mining Chains of Relations
Utilizing Real-World Transportation Data for Accurate Traffic Prediction
Informative Prediction Based on Ordinal Questionnaire Data
VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control
Mining Coverage-Based Fuzzy Rules by Evolutional Computation
Supervised Learning by Training on Aggregate Outputs
Hardening Encrypted Patient Names Against Cryptographic Attacks Using Cellular Automata
Distributed Flow Algorithms for Scalable Similarity Visualization
TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training
Spatial Interestingness Measures for Co-location Pattern Mining
Time-Annotated Sequences for Medical Data Mining
Threatening Privacy across Social Graphs: A Structural Features Approach
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction
Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document
Unsupervised Face Annotation by Mining the Web
Sampling Online Social Networks Using Coupling from the Past
Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis
Causal Inference by Compression
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis
Adaptive and Resource-Aware Mining of Frequent Sets
Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees
Gaussian Process Bandits for Online Influence Maximization
The Necessity of Geometrical Representation for Deep Graph Analysis
Monitoring Stealthy Diffusion
Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation
Identifying Differentially Expressed Genes via Weighted Rank Aggregation
Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach
A Study on Customer Churn of Commercial Banks Based on Learning from Label Proportions
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification
Efficient Splitting Rules Based on the Probabilities of Pre-assigned Intervals
Finding Large Matchings in Semi-Streaming
Soft policy optimization using dual-track advantage estimator
IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference
dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution
Deep Network Optimization for rs-fMRI Classification
A Big Data Analysis Framework Using Apache Spark and Deep Learning
A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces
Most Clusters Can Be Retrieved with Short Disjunctive Queries
Efficient Additive Models via the Generalized Lasso
Natural Language Generation Meets Data Visualization: Vis-to-Text and its Duality with Text-to-Vis
Explainable Ensemble Machine Learning for Wheat Grain Identification
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
Mining Causal Association Rules
Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix
DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest
Building knowledge graphs of homicide investigation chronologies
A Novel Approach for Generating Personalized Mention List on Micro-Blogging System
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study
Towards Context Aware Food Sales Prediction
Aligning Contrastive Clusters for Cross-Network Node Classification
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
The Transfer Learning Based on Relationships between Attributes
An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery
Regression Learning Vector Quantization
Interestingness, Peculiarity, and Multi-Database Mining
Measuring the user experience on network assurance
Relative Label Encoding for the Prediction of Airline Passenger Nationality
Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations
Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes
Valuating Queries for Data Trading in Modern Cities
Clustering of SNP Data with Application to Genomics
A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the Union
Mining Adverse Drug Reactions from Electronic Health Records
On Robust Incremental Learning over Many Multilingual Steps
Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping
Interpreting Categorical Data Classifiers using Explanation-based Locality
An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning
Mining Personal Health Index from Annual Geriatric Medical Examinations
Effects of Negative Customer Reviews on Sales: Evidence Based on Text Data Mining
Scene Text Recognition with Auto-Aligned Feature Generator
Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases
A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts
Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning Problem
Document Clustering via Matrix Representation
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference
Robust Kernel Nonnegative Matrix Factorization
Optimal Subsequence Bijection
An Agglomerative Hierarchical Clustering Using Partial Maximum Array and Incremental Similarity Computation Method
Analyzing the Transferability of Collective Inference Models Across Networks
Gradual Cube: Customize Profile on Mobile OLAP
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
Entity Resolution with Attribute and Connection Graph
Meta-learning for Selecting a Multi-label Classification Algorithm
An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals
SV-Learn: Learning Matrix Singular Values with Neural Networks
Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder
A Novel Method of Combined Feature Extraction for Recognition
A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events
Towards Annotating Media Contents through Social Diffusion Analysis
VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model
Motif Mining in Weighted Networks
Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems
Preserving Privacy through Data Generation
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System
A Novel Learning Approach to Improve Mobile Application Recommendation Diversity
Customer Engagement Journey Driven Propensity Model for Home Page Composition
Subgraph Enumeration in Dynamic Graphs
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks
Semantics-assisted Wasserstein Learning for Topic and Word Embeddings
On Privacy of Socially Contagious Attributes
Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package
A WordNet-Based Semantic Model for Enhancing Text Clustering
On the Mining of Substitution Rules for Statistically Dependent Items
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024
On Computing Paradigms - Where Will Large Language Models Be Going
SpecVAT: Enhanced Visual Cluster Analysis
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling
Unsupervised Learning of Tree Alignment Models for Information Extraction
Mining Frequent Itemsets in Distributed and Dynamic Databases
D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments
Defending Against Adversarial Samples Without Security through Obscurity
Finding Predictive Runs with LAPS
Filling in the Blanks - Krimp Minimisation for Missing Data
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering
Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining
Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential Patterns
SSK-DNN: Semantic and Sentiment Knowledge for Incremental Text Sentiment Classification
Attacking c-MARL More Effectively: A Data Driven Approach
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Multi-instance Multi-graph Dual Embedding Learning
Distance Preserving Graph Simplification
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Activity Recognition Using Wrist-Worn Sensors for Human Performance Evaluation
CoMiner: An Effective Algorithm for Mining Competitors from the Web
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment
ADMIRING: Adversarial Multi-network Mining
Into the Unknown: Self-Learning Large Language Models
A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction
Multi-label Feature Selection for Graph Classification
Discovering Contexts and Contextual Outliers Using Random Walks in Graphs
Enhancing Robust Text Classification via Category Description
MSDN: A Multi-Subspace Deviation Net for Anomaly Detection
Clustering with Multiple Graphs
Mining Event Definitions from Queries for Video Retrieval on the Internet
Integrating Features from Different Sources for Music Information Retrieval
Greedy Regularized Least-Squares for Multi-task Learning
Effect of Missing Data Imputation on Prediction of Urinary Incontinence
Information Theoretic Clustering of Sparse Co-Occurrence Data
A Subspace Clustering Extension for the KNIME Data Mining Framework
Data-Agnostic Local Neighborhood Generation
A Novel Contrast Co-learning Framework for Generating High Quality Training Data
Local Models for Expectation-Driven Subgroup Discovery
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner
Imbalanced Adversarial Training with Reweighting
A Three-Step Validation Following Genome-Wide Data Mining for Myosin Family Members Improves Search Efficiency
Kernel-Density-Based Clustering of Time Series Subsequences Using a Continuous Random-Walk Noise Model
Anti-monotonic Overlap-Graph Support Measures
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files
Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining
Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data
Mining Chinese Reviews
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis
Finding the Optimal Subspace for Clustering
Robust Cascade Reconstruction by Steiner Tree Sampling
Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD
Deep Reinforcement Learning for Traffic Light Optimization
Website Classification Using Latent Dirichlet Allocation and Its Application for Internet Advertising
Early Warnings of Cyber Threats in Online Discussions
Modeling Non-deterministic Human Behaviors in Discrete Food Choices
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract
Discovering Gene Expression Data from the Tables of Full Text Publications
Fraud Detection in Voice-Based Identity Authentication Applications and Services
An Approach to Evaluate the Local Completeness of an Event Log
Simultaneous Pattern and Data Hiding in Unsupervised Learning
Deep Incomplete Multi-View Multiple Clusterings
How Bayesians Debug
Aggregation and Disaggregation of Information: A Holistic View
Data Mining Methods for Modeling Gene Expression Regulation and Their Applications
Defect Detection from UAV Images Based on Region-Based CNNs
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022
GCFormer: Granger Causality based Attention Mechanism for Multivariate Time Series Anomaly Detection
Empirical analysis of fairness-aware data segmentation
A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks
Node-Specific Triad Pattern Mining for Complex-Network Analysis
Human Action Recognition by Radon Transform
A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model
Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts
Communal Detection of Implicit Personal Identity Streams
Informed Design Platform: Interpreting "Big Data" to Adaptive Place Designs
Non-PC Reviewers
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data
Evaluating Hurricane Intensity Prediction Techniques in Real Time
Multi-level Approximate Spectral Clustering
Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks
An Automatic Approach for Transit Advertising in Public Transportation Systems
Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering
Balancing Spectral Clustering for Segmenting Spatio-temporal Observations of Multi-agent Systems
A Deep Learning Based Cloud Imputation Framework
Examination of Reliability of Missing Value Recovery in Data Mining
Benchmarking Deep Clustering Algorithms With ClustPy
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Cerebral Palsy EEG Signals Classification: Facial Expressions and Thoughts for Driving an Intelligent Wheelchair
Topic Modeling for Sequences of Temporal Activities
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Semi-naive Exploitation of One-Dependence Estimators
Attention-based Feature Interaction for Efficient Online Knowledge Distillation
Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes
Unified Fairness from Data to Learning Algorithm
Covid-19 and Multichannel Customers
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization
IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021
Feature Selection for Nonlinear Kernel Support Vector Machines
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets
The Chosen Few: On Identifying Valuable Patterns
bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation
Mining Temporal Patterns with Quantitative Intervals
Face Recognition Using Landmark-Based Bidimensional Regression
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors
Personalized User Recommendation based on Various User Behavior in Local Domain
Fast Attributed Graph Embedding via Density of States
Semantic Analysis Method for Unstructured Data in Telecom Services
On the Tractability of Rule Discovery from Distributed Data
Multi-Space-Mapped SVMs for Multi-class Classification
If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk)
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data
River: A Real-Time Influence Monitoring System on Social Media Streams
Towards Enterprise Archeology: Extracting Business Processes from Runtime Event Data
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching
Racial Skew in Fine-Tuned Legal AI Language Models
gApprox: Mining Frequent Approximate Patterns from a Massive Network
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces