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Advances on Data Mining: Applications and Theoretical Aspects

11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Petra Perner

    1. Intitute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6870)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: ICDM 2011.

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Table of contents (24 papers)

  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

  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
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Other volumes

  1. Advances in Data Mining. Applications and Theoretical Aspects

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About this book

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.

Editors and Affiliations

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

    Petra Perner

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