Advances in data mining : applications and theoretical aspects : 11th industrial conference, ICDM 2011, New York, NY, USA, August 30 - September 3, 2011 : proceedings

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining. Front Matter....Pages - Improvements over Adaptive Local Hyperplane to Achieve Better Classification....Pages 1-10 Prognostic Models Based on Linear Separability....Pages 11-24 One Class Classification for Anomaly Detection: Support Vector Data Description Revisited....Pages 25-39 How to Interpret Decision Trees?....Pages 40-55 Comparing Classifiers and Metaclassifiers....Pages 56-65 Fast Data Acquisition in Cost-Sensitive Learning....Pages 66-77 Application of a Unified Medical Data Miner (UMDM) for Prediction, Classification, Interpretation and Visualization on Medical Datasets: The Diabetes Dataset Case....Pages 78-95 Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem....Pages 96-105 Characterizing Cell Types through Differentially Expressed Gene Clusters Using a Model-Based Approach....Pages 106-120 Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles....Pages 121-133 Unsupervised Classification of Hyperspectral Images on Spherical Manifolds....Pages 134-146 Recognition of Porosity in Wood Microscopic Anatomical Images....Pages 147-160 Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture....Pages 161-173 High Classification Rates for Continuous Cow Activity Recognition Using Low-Cost GPS Positioning Sensors and Standard Machine Learning Techniques....Pages 174-188 Mining Pixel Evolutions in Satellite Image Time Series for Agricultural Monitoring....Pages 189-203 Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing....Pages 204-217 Integrated Use of ICA and ANN to Recognize the Mixture Control Chart Patterns in a Process....Pages 218-227 Optimized Fuzzy Decision Tree Data Mining for Engineering Applications....Pages 228-239 Graph-Based Data Warehousing Using the Core-Facets Model....Pages 240-254 General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques....Pages 255-269 Towards a Spatial Instance Learning Method for Deep Web Pages....Pages 270-285 Applying User Signatures on Fraud Detection in Telecommunications Networks....Pages 286-299 Methods in Case-Based Classification in Bioinformatics: Lessons Learned....Pages 300-313 Prediction of Batch-End Quality for an Industrial Polymerization Process....Pages 314-328 Back Matter....Pages - Annotation This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions