Advances in Data Mining. Applications and Theoretical Aspects

1. Front Matter

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2. Invited Talk

   1. Distances in Classification

      • Claus Weihs, Gero Szepannek

      Pages 1-12

3. Data Mining in Medicine and Agriculture

   1. Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms

      • José Chilo, György Horvath, Thomas Lindblad, Roland Olsson

      Pages 13-23

   2. Data Mining of Agricultural Yield Data: A Comparison of Regression Models

      • Georg Ruß

      Pages 24-37

   3. Study of Principal Components on Classification of Problematic Wine Fermentations

      • Alejandra Urtubia U., J. Ricardo Pérez-Correa

      Pages 38-43

   4. A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check

      • Kazuhiko Shinozawa, Norihiro Hagita, Michiko Furutani, Rumiko Matsuoka

      Pages 44-50

   5. Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation

      • Weiqi Wang, Yanbo J. Wang, René Bañares-Alcántara, Zhanfeng Cui, Frans Coenen

      Pages 51-61

   6. Computer-Aided Diagnosis in Brain Computed Tomography Screening

      • Hugo Peixoto, Victor Alves

      Pages 62-72

   7. Knowledge Representation in Difficult Medical Diagnosis

      • Ana Aguilera, Alberto Subero

      Pages 73-87

4. Data Mining in Marketing, Finance and Telecommunication

   1. Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System

      • Serge Parshutin, Ludmila Aleksejeva, Arkady Borisov

      Pages 88-102

   2. Visualizing the Competitive Structure of Online Auctions

      • Stephen France, Douglas Carroll

      Pages 103-116

   3. Credit Risk Handling in Telecommunication Sector

      • Monika Szczerba, Andrzej Ciemski

      Pages 117-130

   4. Sales Intelligence Using Web Mining

      • Viara Popova, Robert John, David Stockton

      Pages 131-145

   5. A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods

      • Bernhard Brühl, Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith

      Pages 146-160

5. Data Mining in Process Control, Industry and Society

   1. Screening Paper Runnability in a Web-Offset Pressroom by Data Mining

      • A. Alzghoul, A. Verikas, M. Hållander, M. Bacauskiene, A. Gelzinis

      Pages 161-175

   2. Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques

      • Fabio Tango, Marco Botta

      Pages 176-190

   3. SO_MAD: SensOr Mining for Anomaly Detection in Railway Data

      • Julien Rabatel, Sandra Bringay, Pascal Poncelet

      Pages 191-205

   4. Online Mass Flow Prediction in CFB Boilers

      • Andriy Ivannikov, Mykola Pechenizkiy, Jorn Bakker, Timo Leino, Mikko Jegoroff, Tommi Kärkkäinen et al.

      Pages 206-219

   5. Integrating Data Mining and Agent Based Modeling and Simulation

      • Omar Baqueiro, Yanbo J. Wang, Peter McBurney, Frans Coenen

      Pages 220-231

   6. Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring

      • António Dourado, Sara Silva, Lara Aires, João Araújo

      Pages 232-246

This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM two workshops were run focusing on special hot app- cation-oriented topics in data mining. The workshop Data Mining in Marketing DMM 2009 was run for the second time. The papers are published in a separate workshop book “Advances in Data Mining on Markting” by ibai-publishing (www.ibai-publishing.org). The Workshop on Case-Based Reasoning for Multimedia Data CBR-MD ran for the second year. The papers are published in a special issue of the International Journal of Transactios on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

• adaptive systems
• agent based modeling and simulation
• agents
• association rule mining
• classification
• clustering
• computational intelligence
• constrained rules
• data mining
• differentiation
• domain value
• formal concept analysis
• frequent sequence minin
• multimedia

• Institut für Bildverarbeitung und angewandte Informatik, Körnerstr. 10, Leipzig, Deutschland

  Petra Perner

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