Advances on Data Mining: Applications and Theoretical Aspects

1. Front Matter

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2. Theoretical Aspects of Data Mining

   1. Improvements over Adaptive Local Hyperplane to Achieve Better Classification

      • Hongmin Cai

      Pages 1-10

   2. Prognostic Models Based on Linear Separability

      • Leon Bobrowski

      Pages 11-24

   3. One Class Classification for Anomaly Detection: Support Vector Data Description Revisited

      • Eric J. Pauwels, Onkar Ambekar

      Pages 25-39

   4. How to Interpret Decision Trees?

      • Petra Perner

      Pages 40-55

   5. Comparing Classifiers and Metaclassifiers

      • Elio Lozano, Edgar Acuña

      Pages 56-65

   6. Fast Data Acquisition in Cost-Sensitive Learning

      • Victor S. Sheng

      Pages 66-77

3. Data Mining in Medicine

   1. Application of a Unified Medical Data Miner (UMDM) for Prediction, Classification, Interpretation and Visualization on Medical Datasets: The Diabetes Dataset Case

      • Nawaz Mohamudally, Dost Muhammad Khan

      Pages 78-95

   2. Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem

      • Wiesław Paja, Mariusz Wrzesień

      Pages 96-105

   3. Characterizing Cell Types through Differentially Expressed Gene Clusters Using a Model-Based Approach

      • Juliane Perner, Elena Zotenko

      Pages 106-120

   4. Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles

      • Jerzy Gomuła, Wiesław Paja, Krzysztof Pancerz, Teresa Mroczek, Mariusz Wrzesień

      Pages 121-133

4. Multimedia Data Mining

   1. Unsupervised Classification of Hyperspectral Images on Spherical Manifolds

      • Dalton Lunga, Okan Ersoy

      Pages 134-146

   2. Recognition of Porosity in Wood Microscopic Anatomical Images

      • Shen Pan, Mineichi Kudo

      Pages 147-160

5. Data Mining in Agriculture

   1. Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture

      • Georg Ruß, Rudolf Kruse

      Pages 161-173

   2. High Classification Rates for Continuous Cow Activity Recognition Using Low-Cost GPS Positioning Sensors and Standard Machine Learning Techniques

      • Torben Godsk, Mikkel Baun Kjærgaard

      Pages 174-188

   3. Mining Pixel Evolutions in Satellite Image Time Series for Agricultural Monitoring

      • Andreea Julea, Nicolas Méger, Christophe Rigotti, Emmanuel Trouvé, Philippe Bolon, Vasile Lăzărescu

      Pages 189-203

6. Data Mining for Industrial Processes

   1. Robust, Non-Redundant Feature Selection for Yield Analysis in Semiconductor Manufacturing

      • Eric St. Pierre, Eugene Tuv

      Pages 204-217

   2. Integrated Use of ICA and ANN to Recognize the Mixture Control Chart Patterns in a Process

      • Yuehjen E. Shao, Yini Lin, Ya-Chi Chan

      Pages 218-227

   3. Optimized Fuzzy Decision Tree Data Mining for Engineering Applications

      • Liam Evans, Niels Lohse

      Pages 228-239

7. Data Warehousing

   1. Graph-Based Data Warehousing Using the Core-Facets Model

      • Dung N. Lam, Alexander Y. Liu, Cheryl E. Martin

      Pages 240-254

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.

• anomaly detection
• classification
• computational learning
• fraud detection
• medical diagnosis support
• time series analysis

• Intitute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

  Petra Perner

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