yusuke1997/dblp-id-title huggingface dataset:
FilCorr: Filtered and Lagged Correlation on Streaming Time Series
Efficient Online Sequence Prediction with Side Information
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization
Select-Organize-Anonymize: A Framework for Trajectory Data Anonymization
AWarp: Fast Warping Distance for Sparse Time Series
Modeling Preferences with Availability Constraints
Clustering Needles in a Haystack: An Information Theoretic Analysis of Minority and Outlier Detection
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Online Budgeted Least Squares with Unlabeled Data
Distribution-Based Trajectory Clustering
Mímir: Building and Deploying an ML Framework for Industrial IoT
Heisenberg Algebra Implementation to AAG Algorithm for Secure Data Transfer in IoT Networks
Is random model better? On its accuracy and efficiency
Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification
FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning
Adaptive Multimedia Mining on Distributed Stream Processing Systems
Localized Multiple Kernel Support Vector Data Description
Modeling Multiple Time Series for Anomaly Detection
A Decentralized Approach for Negative Link Prediction in Large Graphs
Enhancing Network Security by Software Vulnerability Detection Using Social Media Analysis Extended Abstract
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
Parameter-Free Spatial Data Mining Using MDL
Theoretically and Empirically High Quality Estimation of Closeness Centrality
Backdoor Attack on 3D Grey Image Segmentation
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Private Inference Control for Aggregate Database Queries
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection
Semantic Frame-Based Document Representation for Comparable Corpora
Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering
TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award)
Bias Analysis in Text Classification for Highly Skewed Data
Situation Aware Multi-task Learning for Traffic Prediction
Prophet - A Link-Predictor to Learn New Rules on NELL
Proposal of LDA-Based Sentiment Visualization of Hotel Reviews
Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning
Self-Attentive Attributed Network Embedding Through Adversarial Learning
ErGAN: Generative Adversarial Networks for Entity Resolution
Searching for Pattern Rules
TENALIGN: Joint Tensor Alignment and Coupled Factorization
Multi-document Summarization by Information Distance
Mining Generalized Association Rules for Sequential and Path Data
A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification
ELiCiT: Effective and Lightweight Lossy Compression of Tensors
Multi-view Clustering via Concept Factorization with Local Manifold Regularization
SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training
Latent Ranking Analysis Using Pairwise Comparisons
Multi-task Learning for Classifying Proteins Using Dual Hierarchies
An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
Development and Use of an Activity Model Based on Structured Knowledge: A Music Teaching Support System
Deriving Low-Level Steering Behaviors from Trajectory Data
Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter
Content-Based Network Influence Probabilities: Extraction and Application
Combating Sub-Clusters Effect in Imbalanced Classification
Conformal Prediction Using Decision Trees
Learning Feasible Causal Algorithmic Recourse without Prior Structure
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method
Competition-Wide Evaluation of Individual and Team Movements in Soccer
Data Mining and Privacy of Personal Behaviour Types in Smart Grid
Frequent-Pattern based Iterative Projected Clustering
A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications
A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Training Support Vector Machines Using Gilbert's Algorithm
Characterization of Corpora from Enterprise Technology Creation for Retrieval and Mining
Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation
AskUs: An Opinion Search Engine
Statistical Learning Algorithm for Tree Similarity
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling
Feature Selection in the Tensor Product Feature Space
Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors
Aspect Guided Text Categorization with Unobserved Labels
Pruned Simple Model Sets for Fast Exact Recovery of Image
Quantification of Financial News for Economic Surveys
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns
Trust in Machine Learning Models: Global and Individual Assessment
Concept-Based Biclustering for Internet Advertisement
2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019
A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election
Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems
Identifying Students' Mechanistic Explanations in Textual Responses to Science Questions with Association Rule Mining
Evaluating Vision Language Models in Detecting Learning Engagement
Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?
A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data
Collaborative Label Correction via Entropy Thresholding
Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
A Graph-Based Approach for Multi-folder Email Classification
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models
Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images
Subspace Clustering Ensembles through Tensor Decomposition
Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation
Auctioning Data for Learning
Modeling Syntactic Structures of Topics with a Nested HMM-LDA
Mining Heterogeneous ADS-B Data Sets for Probabilistic Models of Pilot Behavior
Learning Review Representations from user and Product Level Information for Spam Detection
Power to the Points: Validating Data Memberships in Clusterings
Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014
SIPA: A Simple Framework for Efficient Networks
Enhancing Text Retrieval Performance using Conceptual Ontological Graph
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis
Regular Multiple Criteria Linear Programming for Semi-supervised Classification
Resource Efficient Delaunay Triangulation for Higher Dimensional Topological Studies
A Semi-Supervised Learning Approach to Differential Privacy
M 3 -InvRL: Multimedia Model Merging Invariant Representation Learning for Recommendation
Visually Controllable Data Mining Methods
Binomial Matrix Factorization for Discrete Collaborative Filtering
Hierarchy-Regularized Latent Semantic Indexing
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization
On Regularized Sparse Logistic Regression
TEDD: Robust Detection of Unstable Temporal Features
ADANA: Active Name Disambiguation
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases
Fast Incremental Naïve Bayes with Kalman Filtering
COPOD: Copula-Based Outlier Detection
Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification
CloseMiner: Discovering Frequent Closed Itemsets Using Frequent Closed Tidsets
Commonsense Knowledge as the Glue in a Hybrid Model of Computational Creativity
Detecting Hierarchical Changes in Latent Variable Models
Analyzing Hierarchical Organizational Structure Change: Strategic Planning Model from Personnel Perspective
A Graph-Ranking Algorithm for Geo-Referencing Documents
Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures
Deep Neural Models for Chronic Disease Status Detection in Free Text Clinical Records
Inference Analysis in Privacy-Preserving Data Re-publishing
Reductions for Frequency-Based Data Mining Problems
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation
Fairness-Aware Graph Sampling for Network Analysis
Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning
Automated Prompting in a Smart Home Environment
Mining Associations by Pattern Structure in Large Relational Tables
Within-Network Classification in Temporal Graphs
Streaming Random Patches for Evolving Data Stream Classification
Genetic Algorithm Based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks
A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization
A Comparison of Algorithms for TV Ad Targeting
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints
Network Clocks: Detecting the Temporal Scale of Information Diffusion
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes
Cross-Domain Deep Collaborative Filtering for Recommendation
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
Real-Time Crisis Mapping Using Language Distribution
Direct Interesting Rule Generation
Alternate Representation of Distance Matrices for Characterization of Protein Structure
Using Artificial Anomalies to Detect Unknown and Known Network Intrusions
Interactive Knowledge Graph Attention Network for Recommender Systems
Learning to Grade Student Programs in a Massive Open Online Course
Semi-Supervised Anomaly Detection with an Application to Water Analytics
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
A Deep Non-linear Feature Mapping for Large-Margin kNN Classification
Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis
Mining Human Mobility to Quantify Performance Status
Shell Miner: Mining Organizational Phrases in Argumentative Texts in Social Media
Empirical Discovery of Potential Value Leaks in Processes by Means of Formal Concept Analysis
Fast Sparse Connectivity Network Adaption via Meta-Learning
Time Series Join on Subsequence Correlation
Mass Spectrum Labeling: Theory and Practice
Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation
Mining Correlation between Motifs and Gene Expression
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN)
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation
Learning Protein Folding Energy Functions
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
Sentiment Analysis for Social Media Images
Superlinear Convergence of Randomized Block Lanczos Algorithm
Multiple Anonymized Social Networks Alignment
Query Hidden Attributes in Social Networks
A Binary Decision Diagram-Based One-Class Classifier
Community Detection on Large Graph Datasets for Recommender Systems
An Examination of Experimental Methodology for Classifiers of Relational Data
Areal Aggregated Crime Reasoning through Density Tracing
Collective Response Spike Prediction for Mutually Interacting Consumers
Community Preserving Lossy Compression of Social Networks
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction
S4: Distributed Stream Computing Platform
Who Wrote This? Textual Modeling with Authorship Attribution in Big Data
Using Contextual Information to Decrease the Cost of Incorrect Predictions in On-line Customer Behavior Modeling
Estimating the Parameters of Randomly Interleaved Markov Models
A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets
Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing Knowledge
A Model-Agnostic Approach for Explaining the Predictions on Clustered Data
On the classification of weather based on the production of photovoltaic installations
Multi-layer Classification: ICDM 2015 Drawbridge Cross-Device Connections Competition
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling
Parallel Kriging Analysis for Large Spatial Datasets
Robust Semi-Supervised Learning for Self-learning Open-World Classes
SNSaPP: Unbiased Social Media Analysis Against Paid Posters
A Sequence Data Mining Protocol to Identify Best Representative Sequence for Protein Domain Families
Reliability assessment of models for risk stratification: A knowledge-based approach
Mining General Temporal Association Rules for Items with Different Exhibition Periods
A Novel Approach to Trajectory Analysis Using String Matching and Clustering
Performance Dynamics and Success in Online Games
Diverse Dimension Decomposition of an Itemset Space
FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data
Global Slope Change Synopses for Measurement Maps
Scaling up Classifiers to Cloud Computers
Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization
On Evaluating Performance of Classifiers for Rare Classes
Controlling Consistency in Top-N Recommender Systems
Data Mining Sound Archives: A New Scalable Algorithm for Parallel-Distributing Processing
Application of Data Mining for Anti-money Laundering Detection: A Case Study
DS4A: Deep Search System for Algorithms from Full-Text Scholarly Big Data
Large Scale Classification in Deep Neural Network with Label Mapping
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks
A Unified Framework for Painting Classification
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Clustering Spatial Data when Facing Physical Constraints
Clustering by Learning Constraints Priorities
TrendTracker: Modelling the Motion of Trends in Space and Time
Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering
Hypernode: Entity Fusion for Data Traceability and Link Prediction
Confident Kernel Sparse Coding and Dictionary Learning
Personal Identification by Pedestrians Behavior
Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph Reasoning
Group Feature Selection with Streaming Features
Cluster Evolution and Interpretation via Penalties
Maximum Margin Embedding
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective
Blocking Anonymity Threats Raised by Frequent Itemset Mining
New Spatiotemporal Clustering Algorithms and their Applications to Ozone Pollution
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Semi-Supervised Sequence Labeling with Self-Learned Features
Self-Attentive Sequential Recommendation
Discovery of Action Rules at Lowest Cost in Spark
Exploiting Local Data Uncertainty to Boost Global Outlier Detection
PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP
A Feature Selection Framework for Text Filtering
Modeling Fundamental Geo-Raster Operations with Array Algebra
Set-Based Boosting for Instance-Level Transfer
Data Mining in Long-Term Honeypot Data
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy
A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks
A Non-parametric Semi-supervised Discretization Method
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Toward Comprehensive Attribution of Healthcare Cost Changes
Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach
Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes
Summarization - Compressing Data into an Informative Representation
One-Class Classification of Text Streams with Concept Drift
Fast Relevance Discovery in Time Series
Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine Log
Familiarity and Strangeness of Objects: A MoDAT Requirement for Shikake Design
Weighted Quantization and Hamming Search for Fast Image Super-Resolution
Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion
Domain-Driven Data Mining in Human Resource Management: A Review
IRIE: Scalable and Robust Influence Maximization in Social Networks
Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences
DECK: Detecting Events from Web Click-Through Data
Probabilistic Similarity Query on Dimension Incomplete Data
Using image classification for biomedical literature retrieval
Cross-Device Tracking: Matching Devices and Cookies
Semi-Supervised Method for Multi-category Emotion Recognition in Tweets
ASTM: An Attentional Segmentation Based Topic Model for Short Texts
Towards Understanding the Effectiveness of Election Related Images in Social Media
FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Converting Vocal Performances into Sheet Music Leveraging Large Language Models
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes
Improved Logistic Regression Approach to Predict the Potential Distribution of Invasive Species Using Information Theory and Frequency Statistics
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation
SPARCL: Efficient and Effective Shape-Based Clustering
Leveraging Implicit Knowledge in Recommender Systems for Maternal Health
Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation
Passive Sampling for Regression
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks
Transductive Component Analysis
Graph Pooling with Representativeness
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
Quantifying and Recommending Expertise When New Skills Emerge
STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting
Learning, Analyzing and Predicting Object Roles on Dynamic Networks
Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification
From Sets of Good Redescriptions to Good Sets of Redescriptions
Probabilistic User Behavior Models
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models
UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference
gSpan: Graph-Based Substructure Pattern Mining
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework
Collaborated Online Change-Point Detection in Sparse Time Series for Online Advertising
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data
The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA
A Graph-Based Approach to Spatiotemporal Event Sequence Mining
THINK: Temporal Hypergraph Hyperbolic Network
Incremental Maintenance of Discovered Spatial Colocation Patterns
SparkFSM: A Highly Scalable Frequent Subgraph Mining Approach using Apache Spark
Visual Opinion Analysis of Threaded Discussions
Towards Information Profiling: Data Lake Content Metadata Management
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis
Find Intelligent Knowledge by Second-Order Mining: Three Cases from China
Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation
Kernel Conditional Quantile Estimation via Reduction Revisited
Scalable Tensor Decompositions for Multi-aspect Data Mining
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA
Preserving Differential Privacy and Utility of Non-stationary Data Streams
Incorporating Multi-partite Networks and Expertise to Construct Related-Term Graphs
Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera
Unified Solution to Nonnegative Data Factorization Problems
Estimating Online User Location Distribution without GPS Location
Exploratory Mining in Cube Space
Probabilistic Enhanced Mapping with the Generative Tabular Model
Unimodal Segmentation of Sequences
A Community-Enhanced Retrieval Model for Text-Rich Heterogeneous Information Networks
e2-Diagnoser: A System for Monitoring, Forecasting and Diagnosing Energy Usage
Finding Maximal Fully-Correlated Itemsets in Large Databases
Informing the Use of Hyperparameter Optimization Through Metalearning
User-Based Active Learning
xCrawl: A High-Recall Crawling Method for Web Mining