yusuke1997/dblp-id-title huggingface dataset:
Query Expansion Using Topic and Location
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Few-shot Partial Multi-label Learning with Data Augmentation
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data
The Time-Varying Dependency Patterns of NetFlow Statistics
Discriminative Learning on Exemplary Patterns of Sequential Numerical Data
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
Extracting Addresses from Unstructured Text Using Bi-directional Recurrent Neural Networks
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy
MTT-DynGL: Towards Multidimensional Topology-oriented Time-series Dynamic Graphs Learning Model
Directional Higher Order Information for Spatio-Temporal Trajectory Dataset
Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial
Ontology-Based Software Requirements Reuse: Case Study in Fire Control Software Product Line Domain
Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features
OLLDA: A Supervised and Dynamic Topic Mining Framework in Twitter
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010
Clustering Item Data Sets with Association-Taxonomy Similarity
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms
Efficient Kernel Discriminant Analysis via Spectral Regression
Real-Time Top-View People Counting Based on a Kinect and NVIDIA Jetson TK1 Integrated Platform
Adaptive Parallel Graph Mining for CMP Architectures
Merging Classifiers of Different Classification Approaches
Steady Patterns
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Semantic Enabled Recommender System for Micro-Blog Users
Graph Sparsification with Generative Adversarial Network
Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm
Automatic Single-Organ Segmentation in Computed Tomography Images
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization
An Effective Expert Team Formation in Social Networks Based on Skill Grading
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Multiresolution Mutual Information Method for Social Network Entity Resolution
Origin/Destination-estimation Using Cellular Network Data
Discovery of College Students in Financial Hardship
GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs
Constructing Topical Hierarchies in Heterogeneous Information Networks
Dense Semantic Matching Network for Multi-turn Conversation
Parallelized Boosting with Map-Reduce
Spatio-Temporal Frequent Itemset Mining on Web Data
Graph Partitioning Change Detection Using Tree-Based Clustering
Nonparametric Monotone Classification with MOCA
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
Unsupervised Measuring of Entity Resolution Consistency
CrowdDepict: Know What and How to Generate Personalized and Logical Product Description using Crowd intelligence
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows
Introduction of Search Engine Focusing on Trend-Related Queries to Market of Data
Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism
Plagiarism Detection in arXiv
Stop Purpose Classification from GPS Data of Commercial Vehicle Fleets
Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the Web
Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework
Mining Summaries for Knowledge Graph Search
Exploring the Role of Artificial Intelligence in Mental Health
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations
A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology
SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs
Discovering Frequent Geometric Subgraphs
Feature Selection in Learning Using Privileged Information
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning
Textual Lyrics Based Emotion Analysis of Bengali Songs
Learning Tags from Unsegmented Videos of Multiple Human Actions
Bonsai: Growing Interesting Small Trees
Classification Rule Mining Supported by Ontology for Discrimination Discovery
An Algebra for Inductive Query Evaluation
Semi-supervised Density-Based Clustering
Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation
The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection
Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams
Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations
Integrating Collaborative Filtering and Search-Based Techniques for Personalized Online Product Recommendation
Estimation of Economic Indicators using Residual Neural Network ResNet50
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
Low Dimensional Localized Clustering (LDLC)
Improving the Results and Performance of Clustering Bit-encoded XML Documents
Sentence-Level and Document-Level Sentiment Mining for Arabic Texts
Performance-Optimizing Classification of Time-Series Based on Nearest Neighbor Density Approximation
Preliminary Case Study on Data Utilization and Collaboration on the Web
Making Sense of Sentiments for Aesthetic Plastic Surgery
Online and Distributed Robust Regressions Under Adversarial Data Corruption
Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning Techniques
Extracting Informative Rules from High Dimensional Data Using a Numerical Approach
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
The Impact of Structural Changes on Predictions of Diffusion in Networks
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
Weighted Task Regularization for Multitask Learning
Contrast Pattern Based Methods for Visualizing and Predicting Spatiotemporal Events
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions
An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Mining Web Data to Create Online Navigation Recommendations
PriSM: Privacy-Preserving Social Media Text Processing and Analytics Framework
2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017
Collaborative Anomaly Detection on Blockchain from Noisy Sensor Data
D-cores: Measuring Collaboration of Directed Graphs Based on Degeneracy
Efficient Entity Resolution with Adaptive and Interactive Training Data Selection
GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media
Clustering High-dimensional Toxicogenomics Data with Rare Signals
Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability
MCRec: Multi-channel Gated Gifts Recommendation
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance
A Study on Reliability in Graph Discovery
Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing
Visualizing Global Manifold Based on Distributed Local Data Abstractions
A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology
Differential Location Privacy for Sparse Mobile Crowdsensing
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems
Tag Clustering and Refinement on Semantic Unity Graph
Chi-Square Test Based Decision Trees Induction in Distributed Environment
Exploring Semantic Relationships for Image Captioning without Parallel Data
Multi-granularity Visualization of Trajectory Clusters Using Sub-trajectory Clustering
Mixture of Softmax sLDA
Learning Set Cardinality in Distance Nearest Neighbours
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
Network2Vec: Learning Node Representation Based on Space Mapping in Networks
Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective
Predicting and Optimizing Classifier Utility with the Power Law
SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation
Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning
Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels
CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns
MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction
A Novel Scalable Algorithm for Supervised Subspace Learning
Detecting Link Spam Using Temporal Information
Unsupervised Clustering Strategy Based on Label Propagation
Discriminatory Decision Policy Aware Classification
Zigzag: a new algorithm for mining large inclusion dependencies in database
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching
Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation
Few-Shot Partial Multi-Label Learning
TADO: Time-varying Attention with Dual-Optimizer Model
Mining System for Community Finding and Centrality of Virtual User Network on the Internet
A Support Vector Approach to Censored Targets
Finding Rare Patterns with Weak Correlation Constraint
Pruning and Nonparametric Multiple Change Point Detection
A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif
Mining the Dark Web: Drugs and Fake Ids
Domain Specific Feature Transfer for Hybrid Domain Adaptation
Using Self-Organizing Map and Heuristics to Identify Small Statistical Areas Based on Household Socio-Economic Indicators in Turkey's Address Based Population Register System
The IEEE ICDM 2020 Workshops
Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion
Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce
Web Service QoS Prediction Approach in Mobile Internet Environments
Defensibility-Based Classification for Argument Mining
An Improved Feature Representation Method for Maximum Entropy Model
Spatio-Temporal Trajectory Region-of-Interest Mining Using Delaunay Triangulation
Sequential Change Detection on Data Streams
Data Prediction Competitions -- Far More than Just a Bit of Fun
Operation-level Progressive Differentiable Architecture Search
Incorporating Expert Feedback into Active Anomaly Discovery
Learning from Incomplete Labeled Data via Adversarial Data Generation
Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization
Multi-graph Convolution Collaborative Filtering
Change Mining of Customer Profiles Based on Transactional Data
Survival Analysis with Multiple Noisy Labels
Curating and Mining (Big) Data
Dynamic Propagation Rates: New Dimension to Viral Marketing in Online Social Networks
Constraint-Based Pattern Mining in Multi-relational Databases
A Lookahead Algorithm for Robust Subspace Recovery
Review Graph Based Online Store Review Spammer Detection
Data Jacket Retrieval Based on Explicit Semantic Analysis
Predicting Weight Loss with Enemble Methods
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction
The Pairwise Gaussian Random Field for High-Dimensional Data Imputation
Stream Mining Using Statistical Relational Learning
FCToken: A Flexible Framework for Blockchain-Based Compliance Tokenization
Paired Learners for Concept Drift
Local Probabilistic Models for Link Prediction
A Factorized Version Space Algorithm for "Human-In-the-Loop" Data Exploration
A Fast Method to Mine Frequent Subsequences from Graph Sequence Data
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences
Interesting Subset Discovery and Its Application on Service Processes
Imputation Methods Outperform Missing-Indicator for Data Missing Completely at Random
An Effective Clustering Algorithm for Auto-Detecting Well-Separated Clusters
Data-Driven Utilization-Aware Trip Advisor for Bike-Sharing Systems
On Good and Fair Paper-Reviewer Assignment
DAGAD: Data Augmentation for Graph Anomaly Detection
Time is of the Essence: Machine Learning-Based Intrusion Detection in Industrial Time Series Data
Structured Feature Selection and Task Relationship Inference for Multi-task Learning
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining
Change-Point Detection in Time-Series Data Based on Subspace Identification
Service Oriented KDD: A Framework for Grid Data Mining Workflows
Sparse Kernel Least Squares Classifier
Mining Patterns of Change in Remote Sensing Image Databases
Backpropagation-free Graph Neural Networks
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities
Efficient Data Mining for Maximal Frequent Subtrees
Learning Conditional Independence Tree for Ranking
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
Differential Analysis on Deep Web Data Sources
DRN: Bringing Greedy Layer-Wise Training into Time Dimension
Correlation and Contrast Link Formation Patterns in a Time Evolving Graph
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations
Population Behavior Analysis of Chinese University Students via Digital Campus Cards
Distributional Cloning for Stabilized Imitation Learning via ADMM
Let's Chat about Brexit! A Politically-Sensitive Dialog System Based on Twitter Data
Selecting Valuable Customers for Merchants in E-Commerce Platforms
SemStim: Exploiting Knowledge Graphs for Cross-Domain Recommendation
Themis: Detecting Anomalies from Disguised Normal Financial Activities
Inferring, Summarizing and Mining Multi-source Graph Data
Summarizing User-Item Matrix By Group Utility Maximization
Latent Dirichlet Co-Clustering
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction
Mining Production Data with Neural Network & CART
Compressibility of Distributed Document Representations
PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis
Learning Community Structure with Variational Autoencoder
Predicting Future Decision Trees from Evolving Data
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective
Exploiting Multi-domain Visual Information for Fake News Detection
Spatial Interpolation with Message Passing Framework
Evaluation of Session-Based Recommendation Systems for Social Networks
Representing Social Networks as Dynamic Heterogeneous Graphs
Semi-supervised Document Clustering via Active Learning with Pairwise Constraints
Non-Fungible Tokens: What Makes Them Valuable?
Efficient Mining of Frequent Patterns from Uncertain Data
Revenue-Optimized Webpage Recommendation
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
Preprocessing Opportunities in Optimal Numerical Range Partitioning
Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization
Automatic Image Annotations by Mining Web Image Data
AANE: Anomaly Aware Network Embedding For Anomalous Link Detection
Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification
A Personalized Music Filtering System Based on Melody Style Classification
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution
Iteratively Learning Conditional Statements in Transforming Data by Example
SGD with Partial Hessian for Deep Recommendation System Optimization
CrowdTC: Crowdsourced Taxonomy Construction
A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing
Efficient Rule Generation for Dominant Class Problems on LARM
Markov Switching Copula Models for Longitudinal Data
Distributed LSTM-Learning from Differentially Private Label Proportions
Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Reviewing RELIEF and its Extensions: A new Approach for Estimating Attributes considering high-correlated Features
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing
A Novel Co-clustering Method with Intra-similarities
Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation
Link Prediction Across Multiple Social Networks
Sentiment Lexica from Paired Comparisons
Confidence Calibration on Multiclass Classification in Medical Imaging
Towards Automatic Image Understanding and Mining via Social Curation
Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk
Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data
Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data
Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries
Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement
Dependency Derivation in Industrial Process Data
Mining Patterns of Cyberbullying on Twitter
A Bernoulli Relational Model for Nonlinear Embedding
Efficient Data Sampling in Heterogeneous Peer-to-Peer Networks
FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal control
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model
Exploring Transfer Learning for Crime Prediction
InQMAD: Incremental Quantum Measurement Anomaly Detection
Extracting Variable Knowledge from Multiversioned XML Documents
Ranking-Based Evaluation of Regression Models
Deep Learning for Image Retrieval: What Works and What Doesn't
GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks
Joint Visual and Textual Mining on Social Media
Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis
Razor: mining distance-constrained embedded subtrees
Data Discretization Unification
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation
Active Keyword Selection to Track Evolving Topics on Twitter
Adapting Component Analysis
Deep Learning Based Scalable Inference of Uncertain Opinions
Generalized Probabilistic Matrix Factorizations for Collaborative Filtering
LibEDM: A Platform for Ensemble Based Data Mining
An Ellipsoidal K-Means for Document Clustering
Data Mining Based Product Marketing Technique for Banking Products
Full-Reference Quality Assessment for Video Summary
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
Measuring Proximity on Graphs with Side Information
Discrimination at the Edge of Noise: A Hilbert Space of Stationary Ergodic Processes
Contextual Bandit with Adaptive Feature Extraction
BLRGCN: A dynamic traffic flow prediction model based on spatiotemporal graph convolutional network
Community Detection in Networks with Node Attributes
Subject Classification in the Oxford English Dictionary
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets
Inferring Uncertain Trajectories from Partial Observations
AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data
Pointwise Reliability Assessment: Density vs. Local Fit Methods
ZCS Revisited: Zeroth-Level Classifier Systems for Data Mining
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses
Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing
Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks
Input Validation for Semi-supervised Clustering
P3C: A Robust Projected Clustering Algorithm
A Scalable Clustering Algorithm for Serendipity in Recommender Systems
Grandmaster: Interactive Text-Based Analytics of Social Media
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior
A Recommendation System for Preconditioned Iterative Solvers
A New Measure of Feature Selection Algorithms' Stability
On the Feature Discovery for App Usage Prediction in Smartphones
Constrained Matrix Factorization for Course Score Prediction
Heterogeneous Graph Neural Network with Distance Encoding
FairLabel: Correcting Bias in Labels
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows
PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets
Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-Optimality
Discovering Significant Patterns in Multi-stream Sequences
OntoDM: An Ontology of Data Mining
On the Robust Splitting Criterion of Random Forest
Reconstruction-based unsupervised drift detection over multivariate streaming data
Reserve Price optimization in First-Price Auctions via Multi-Task Learning
Continuous Exact Explanations of Neural Networks
NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation
Correlation Preserving Discretization
Unusual Condition Mining for Risk Management of Hydroelectric Power Plants
Mining Frequent Itemsets from Secondary Memory
Generating Synthetic Time Series to Augment Sparse Datasets
IEEE ICDM 2010 Contest: TomTom Traffic Prediction for Intelligent GPS Navigation
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records
Email Analytics for Support Center Performance Analysis
Anomaly-Based Insider Threat Detection Using Deep Autoencoders
Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines
Learning Dynamic User Interactions for Online Forum Commenting Prediction
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter
Overlapping Toxic Sentiment Classification Using Deep Neural Architectures
Title-Composing Support System for Reaching New Audiences
Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach
ViGEO: an Assessment of Vision GNNs in Earth Observation
Privacy-Preserved Neural Graph Similarity Learning
An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews
Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models
Semantic Linking between Video Ads and Web Services with Progressive Search
Label Distribution Learning
Mining Frequent Itemsets in a Stream
Closing the Loop: Heuristics for Autonomous Discovery
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection
Open-World Class Discovery with Kernel Networks
Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation
Improving Disentangled Representation Learning with the Beta Bernoulli Process
Mining Dominant Patterns in the Sky