yusuke1997/dblp-id-title huggingface dataset:
Feature Analysis and Classification of Classical Musical Instruments: An Empirical Study
Context Aware Image Annotation in Multiple-Instance Active Learning
Feature Representation for Customer Attrition Risk Prediction in Retail Banking
Advances in Data Mining - Applications and Theoretical Aspects, 20th Industrial Conference, ICDM 2020, Amsterdam, The Netherlands, July 20 - July 21, 2020
Analysis of Insulin Dependent Diabetes Mellitus Rats for Autoimmune Diabetes
Visual Trajectory Pattern Mining: An Exploratory Study in Baggage Handling Systems
Classification of Network Traffic Using Fuzzy Clustering for Network Security
Retail Store Segmentation for Target Marketing
Advances in Data Mining. Applications and Theoretical Aspects - 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings
Development of Issue Sets from Social Big Data: A Case Study of Green Energy and Low-Carbon
Meteorological Data Mining: a Case Study in the Brazil Semi-Arid
Visual Query and Exploration System for Temporal Relational Database
Application of Machine Learning to Predictive Maintenance
Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
Personalized Neural Architecture Search
A Case Study of Data Mining in Retail Banking: Predict Attrition Risk of Vip Customers
Knowledge-guided Text Structuring in Clinical Trials
Data Mining Analysis on Italian Family Preferences and Expenditures
Pen-Based Retrieval in Handwritten Documents
Advances in Data Mining. 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 2012, Poster and Industry Proceedings
Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A Survey
Nonparametric Approaches for e-Learning Data
Self-training Strategies for Handwriting Word Recognition
Ontology-based Text Analysis Approach to Retrieve Oncology Documents from PubMed Relevant to Cervical Cancer in Clinical Trials
From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing
Adaptation Problems and Endocrine Therapy Support
Case Selection Evaluation Methodology
Successful Data Mining also Includes Using Data on the Right Level of Aggregation and Transformation
Advances in Data Mining. Applications and Theoretical Aspects - 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings
Multispecies Gene Entropy Estimation, a Data Mining Approach
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds
Comparison of two strategies, CTC and CMM, to combine m classifiers in a single comprehensible one
A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction
Hierarchical Text Classification of Autopsy Reports to Determine MoD and CoD Through Term-Based and Concepts-Based Features
Evolving Oblique Decision Trees For Survival Analysis
Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories
A real-time platform for contextualized conspiracy theory analysis
Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly Detection
ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series
General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques
How SME's can use Analytics to Support their Marketing and Sales, A Case Study
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics
Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions
Unsupervised Named Entity Recognition and Disambiguation: An Application to Old French Journals
Clustering Professional Baseball Players with SOM and Deciding Team Reinforcement Strategy with AHP
A Research on Data Mining Techniques Based on Ant Theory for Path-Type Association Rules
A New Approach for Mining Representative Patterns
Mining Determining Sets for Partially Defined Functions
Mining Association Rules from Customer Behaviors for Hotel Customer Cross-selling
Trajectory Clustering for Vibration Detection in Aircraft Engines
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks
Splitting Algorithm for Detecting Structural Changes in Predictive Relationships
Outlier Detection with Streaming Dyadic Decomposition
Study of Principal Components on Classification of Problematic Wine Fermentations
Effectiveness Evaluation of Data Mining Based IDS
Detecting Wandering Behavior of People with Dementia
Decision Management Tool
Interpretable detection of unstable smart TV usage from power state logs
Comparing Classifiers and Metaclassifiers
Anomaly Detection with Dual Adversarial Training
Procurement Fraud Discovery using Similarity Measure Learning
Advances in Data Mining. Applications and Theoretical Aspects - 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 - September 3, 2011. Proceedings
Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions
Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles
Operator Terminal Sales Strategy Based on Data Mining
A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters
Recent Developments in Data Mining and Agriculture
Improving Network Intrusion Detection System By Decision Tree And Exclusion-Condensation Based Pattern Matching
A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases
Impact of Cluster Validity Measures on Performance of Hybrid Models Based on K-means and Decision Trees
Speeding Up Continuous kNN Join by Binary Sketches
Use of Big Data for Disaster Management
The OCS testing data analysis of hard spot based on data-mining technique
Semantic Indexing Of Images Using A Web Ontology Language
CPLClustering with Feature Costs
Boundary Points Detection Using Adjacent Grid Block Selection (AGBS) kNN-Join Method
Pattern-Based Solution Risk Model for Strategic IT Outsourcing
Predicting Lung Cancer Prognosis from Gene Expression Levels
Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing
Neural Business Control System
Data Mining Approach to Actionable Marketing Segmentation
Cluster-Based Relative Outlier Under-Sampling Technique
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms
Visualized Episode Mining with Feature Granularity Selection
Improving document classification performance by combining resources and integrating word embedding techniques
Targeted Fraud Detection Use of a Taxonic Method, Subspace Clustering and Knowledge Acquisition to develop a Classification Model Ensemble
Optimized Fuzzy Decision Tree Data Mining for Engineering Applications
Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application
A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks
Innovations in News Media: Crisis Classification System
Mining High Utility Subgraphs
Sequence Prediction using Partially-Ordered Episode Rules
How to Interpret Decision Trees?
Influence of Missing Values Handling on Classification Rules Evolved from Medical Data
Advances in Data Mining - Applications and Theoretical Aspects, 19th Industrial Conference, ICDM 2019, New York, USA, July 17 - July 21, 2019
MapReduce and Spark-Based Analytic Framework Using Social Media Data for Earlier Flu Outbreak Detection
Advances in Data Mining. Applications and Theoretical Aspects - 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings
10 Tips on Building Successful Predictive Analytics Solutions for Businesses Today
MeMO : Membership-Based Minority Oversampling for Class Balancing
An Application of Element Oriented Analysis Based Credit Scoring
LUCKe - Connecting Clustering and Correlation Clustering
A fast sorting-based aggregation method for symbolic time series representation
Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects
Optimization of Activities in Smart Homes
Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection
A Case-Based Retrieval System for Post-Operative Pain Treatment
Analysis of the Features Extracted from Sequence for Prediction of Protein's Subcellular Localization Using Fourier Transform
ContentHE: Content-enhanced Network Embedding for Hashtag Representation
DynaPosGNN: Dynamic-Positional GNN for Next POI Recommendation
Empirical Quantitative Analysis of COVID-19 Forecasting Models
IBFM: An Instance-weight Balanced Factorization Machine for Sparse Prediction
Disjoint-CNN for Multivariate Time Series Classification
Model-based Poisson co-clustering for Attributed Networks
Data Mining for the Internet of Things
Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context
Sentiment Classification of on-line Products Based on Machine Learning Techniques and Multi-agent Systems Technologies
Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is Sufficient
Statistical analysis of electrophoresis time series for improving basecalling in DNA sequencing
Advances in Data Mining. Theoretical Aspects and Applications, 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings
Data Mining, Data Warehouse, Knowledge Management, Proceedings of the Industrial Conference on Data Mining ICDM 2001
Instance selection for multi-label learning based on a scalable evolutionary algorithm
An automatic real-time system for the determination of translational and rotational speeds of swimming microorganisms
Advances in Data Mining. 11th Industrial Conference, ICDM 2011, New York, USA, September/August 2011, Poster and Industry Proceedings, Workshop on Data Mining in Life Sciences
Architectural Framework for a Case-Based Reasoning System for Data Mining Experience Management
Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set
Early Prediction of Extreme Rainfall Events: A Deep Learning Approach
SSPF: a Simple and Scalable Parameter Free Clustering Method
Self-Supervised Source Code Annotation from Related Research Papers
Prototypes for Medical Case-Based Applications
The Influence of Input and Output Measurement Noise on Batch-End Quality Prediction with Partial Least Squares
Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis
From Data to Decision Making in the South African Mining Industry
The Orange Customer Analysis Platform
Analysis of Trajectory Data in Support of Traffic Management: A Data Mining Approach
Sequential Item Recommendation in the MOBA Game Dota 2
Online Mass Flow Prediction in CFB Boilers
The LuNa Open Toolbox for the Luxembourgish Language
Evolutionary DBN for the Customers' Sentiment Classification with Incremental Rules
NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach
Text Classification and Sentiment Analysis in Social Media for the Marketing Domain
Detection of IP Gangs: Strategically Organized Bots
GEP-Induced Expression Trees as Weak Classifiers
Visual Scenes Mining for Agent Awareness Module
Modeling ATM Location Optimization using Predictive Modeling
Named Relationship Mining from Medical Literature
A Time-series Analysis of How Google Trends Searches Affect Cryptocurrency Prices for Decentralized Finance and Non-Fungible Tokens
Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?
An Infrastructure for Mining Medical Multimedia Data
Control Charts of Workflows
Detection of Hygiene-relevant Parameters from Cereal Grains based on Intelligent Image Interpretation and Data Mining
A Generative Graphical Model for Collaborative Filtering of Visual Content
VISRED -Numerical Data Mining with Linear and Nonlinear Techniques
The Curve Fitting Approach for Classification Problems
Text Classification Using Combinations of Different Versions of Input Files
Medical Diagnostic Decision Support Framework using Data Mining
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
Searching for Biomarkers Indicating a Development of Insulin Dependent Diabetes Mellitus
Fuzzy Evolutionary Classification of TCP Packets for Network Intrusion Detection
Integrated Use of ICA and ANN to Recognize the Mixture Control Chart Patterns in a Process
Crowd behavior detection in videos using statistical physics
Risk and Error Matrix Charts
Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal features
Intelligent Information Systems for Knowledge Work(ers)
Extending PubMed Related Article (PMRA) for Multiple Citations
Data Mining on Extremely Long Time-Series
Differential Voting in Case Based Spam Filtering
Clustering with Domain Value Dissimilarity for Categorical Data
Deep Reinforcement Learning Task for Portfolio Construction
Measuring Irregularity in Symbolic Spike Trains: Application to Steve Reich's Clapping Music
Computer Network Monitoring and Abnormal Event Detection Using Graph Matching and Multidimensional Scaling
Characterizing Cell Types through Differentially Expressed Gene Clusters Using a Model-Based Approach
User Based Recommender Model for Social Tagging Systems
Constraint-Based Clustering Algorithm for Multi-density Data and Arbitrary Shapes
Analyseorientierte Informationssysteme = Datawarehouse ?
Sentiment Analysis Framework Using Data Driven Approach
Development of Users Distribution in Enterprise Systems with limited Buffer Sizes in Application Servers
Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
Improvement Mega Clustering Algorithm Using Ant Colony Optimization
Towards a Spatial Instance Learning Method for Deep Web Pages
$\mathcal{SHACUN}$ : Semi-supervised Hierarchical Active Clustering Based on Ranking Constraints
Feature Selection for Multivariate Time Series via Network Pruning
A Novel Parallel Algorithm for Frequent Itemsets Mining in Large Transactional Databases
Advances in Data Mining. Applications and Theoretical Aspects, 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009. Proceedings
Using the Results of Capstone Analysis to Predict a Weather Outcome
Representation of the Heat Specific Creep Rupture Behavior of 9%Cr Steels using Neural Networks
A data-driven approach to predict hourly bill rates for US contingent workers
Responsible Data Releases
Advances in Data Mining, 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 2012, Workshop Proceedings, Workshop on Case-Based Reasoning CBR-MD 2012, Workshop on Data Mining in Agriculture DMA 2012, Workshop on Data Mining in Life Sciences DMLS 2012, Workshop on Data Mining in Marketing DMM 2012
Consistent Biclustering and Applications to Agriculture
Optimal Option Hedging with Policy Gradient
Applying User Signatures on Fraud Detection in Telecommunications Networks
DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques
Online Changepoint Detection on a Budget
Automated Vision-Based Diagnosis of Cassava Mosaic Disease
Bus Bunching Detection by Mining Sequences of Headway Deviations
A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability
TensorMode Algorithm for Network Embedding in Dynamic Environments
Association Analysis of Customer Services from the Enterprise Customer Management System
Object Detection in Watershed Partitioned Grey-level Images
Class Decomposition in Bioinformatics Analyzing Omics Data
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods
STONE: Signal Temporal Logic Neural Network for Time Series Classification
Functions and Architecture for Automatic Predictive Targeting and Modelling Real-time On-line Behavior
ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients
A Proportional Process Mining System
Series of Optimized Predictive Models for Forecast of Global Wastewater Treatment Plant Performance
Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, Proceedings
Active Learning Machines for Automatic Segmentation of Hippocampus in MRI
Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA
Visual Analog Scale of Pain Intensity Prediction Based on Ensembled Artificial Neural Networks via i-Pain System
Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees
Fake Reviewer Group Detection in Online Review Systems
Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams
A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer
Modelling Context with Graph Convolutional Networks for Aspect-based Sentiment Analysis
Sales Intelligence Using Web Mining
Graph Representation Learning with Adaptive Mixtures
Choice Modelling and Forecasting Demand for Alternative-Fuel Tractors
Computer-Aided Diagnosis in Brain Computed Tomography Screening
Does Ambient Intelligence for Mobile User Assistance dissolve in Privacy Oriented Policies?
Generalized ATM Fraud Detection
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 16-18, 2008, Proceedings
Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data
Mining Frequent Subgraph Pattern Over a Collection of Attributed-Graphs and Construction of a Relation Hierarchy for Result Reporting
Class Separating Measures of Similarity for the CBR Scheme
Customs Fraud Detection in the Presence of Concept Drift
Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms
Advances in Data Mining. 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 2010, Workshop Proceedings
Identifying and Characterizing Truck Stops from GPS Data
The Normalized Compression Distance as a Distance Measure in Entity Identification
Survival Analysis of Breast Cancer Utilizing Integrated Features with Ordinal Cox Model and Auxiliary Loss
Data Mining in Marketing 15th International Workshop on Data Mining in Marketing, DMM@ICDM 2019, New York, USA, July 19, 2019
UP-DRES User Profiling for a Dynamic REcommendation System
Advances in Data Mining. Applications and Theoretical Aspects - 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings
Risk Factors and Identifiers for Alzheimer's Disease: A Data Mining Analysis
Possibilistic Retrieval in Case-Based Reasoning
Credit Risk Handling in Telecommunication Sector
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework
An Efficient Similarity Searching Algorithm Based on Clustering for Time Series
Improving the Predictive Power of Business Performance Measurement Systems by Constructed Data Quality Features? Five Cases
Entropic Quadtrees and Mining Mars Craters
Appling Data Mining and Diffusion of Innovations to Build an Efficient Patent Strategy in RFID Industry
Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients
Challenging the Long Tail Recommendation on Heterogeneous Information Network
Overview of Optimization Algorithms for Large-scale Support Vector Machines
eXiT*CBR: A framework for case-based medical diagnosis development and experimentation
The Role of Effective Knowledge Management in Education Sector of Pakistan
Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models
Re-mining Positive and Negative Association Mining Results
Incorporating Adjacent User Modeling into Session-based Recommendation with Graph Neural Networks
The WoMan Formalism for Expressing Process Models
Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough Sets
Unsupervised graph-clustering learning framework for financial news summarization
Application of a Unified Medical Data Miner (UMDM) for Prediction, Classification, Interpretation and Visualization on Medical Datasets: The Diabetes Dataset Case
Behavioral Targeting: Which Method Produces the most Robust Prediction? A Confrontation between Decisions Trees, Neural Networks and Regressions
Subsets More Representative Than Random Ones
A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals
Object Recognition in Herbarium Specimens
An Easy Way to Build Flexible Search Engine by Using Crawlzilla
A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers
Using Disjunctions in Association Mining
The Vehicle Routing Problem with Time Windows and Time Costs
An Automated Search Space Reduction Methodology for Large Databases
A commodity platform for Distributed Data Mining - the HARVARD System
Data Mining Over Directed Transcription Factor Network
Mining Location-Based Service Data for Feature Construction in Retail Store Recommendation
Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic
Estimating Risk of Dynamic Trading Strategies from High Frequency Data Flow
What Stakeholders Expect from Analytics?
A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector
Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data
BiETopti-BiClustering Ensemble Using Optimization Techniques
Evaluation of Fusion for Similarity Searching in Online Handwritten Documents
Methods in Case-Based Classification in Bioinformatics: Lessons Learned
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web
A Study of Transfer of Learning Applying Ontology- Based Assistant Learning System
Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI)
Unified Expression Ripple Down Rules based Fraud Detection Technique for Scalable Data
Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences
Screening Paper Runnability in a Web-Offset Pressroom by Data Mining
Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis
Robust Clustering Using Discriminant Analysis
Faster classification using compression analytics
Using Data Mining Algorithms for Web Spam Detection
Analysis of Patient Controlled Analgesia Demand Patterns
Early Prediction of Hate Speech Propagation
Modelling Medical Time Series Using Grammar-Guided Genetic Programming
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection
SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size
The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses
Mining Unexpected Web Usage Behaviors
Advances in Data Mining: Applications and Theoretical Aspects - 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings
6th Industrial Conference on Data Mining, Workshop Proceedings, ICDM 2006, Leipzig, Germany, July 14-15, 2006
A probabilistic perspective on nearest neighbor for implicit recommendation
Cross-lingual COVID-19 Fake News Detection
Case-Based Reasoning for Prognosis of Threatening Influenza Waves
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms
Advances in Data Mining. 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 2009, Poster Proceedings
Spectral Discrimination of Southern Victorian Salt Tolerant Vegetation