Advances in Data Mining: Applications and Theoretical Aspects

1. Front Matter

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2. Invited Talk

   1. Moving Targets

      • Giorgio Giacinto

      Pages 1-16

   2. Bioinformatics Contributions to Data Mining

      • Isabelle Bichindaritz

      Pages 17-27

3. Theoretical Aspects of Data Mining

   1. Bootstrap Feature Selection for Ensemble Classifiers

      • Rakkrit Duangsoithong, Terry Windeatt

      Pages 28-41

   2. Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths

      • Faraz Zaidi, Daniel Archambault, Guy Melançon

      Pages 42-56

   3. Finding Irregularly Shaped Clusters Based on Entropy

      • Angel Kuri-Morales, Edwin Aldana-Bobadilla

      Pages 57-70

   4. Fuzzy Conceptual Clustering

      • Petra Perner, Anja Attig

      Pages 71-85

   5. Mining Concept Similarities for Heterogeneous Ontologies

      • Konstantin Todorov, Peter Geibel, Kai-Uwe Kühnberger

      Pages 86-100

   6. Re-mining Positive and Negative Association Mining Results

      • Ayhan Demiriz, Gurdal Ertek, Tankut Atan, Ufuk Kula

      Pages 101-114

   7. Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining

      • Santhana Chaimontree, Katie Atkinson, Frans Coenen

      Pages 115-127

   8. Describing Data with the Support Vector Shell in Distributed Environments

      • Peng Wang, Guojun Mao

      Pages 128-142

   9. Robust Clustering Using Discriminant Analysis

      • Vasudha Bhatnagar, Sangeeta Ahuja

      Pages 143-157

   10. New Approach in Data Stream Association Rule Mining Based on Graph Structure

       • Samad Gahderi Mojaveri, Esmaeil Mirzaeian, Zarrintaj Bornaee, Saeed Ayat

       Pages 158-164

4. Multimedia Data Mining

   1. Fast Training of Neural Networks for Image Compression

      • Yevgeniy Bodyanskiy, Paul Grimm, Sergey Mashtalir, Vladimir Vinarski

      Pages 165-173

   2. Processing Handwritten Words by Intelligent Use of OCR Results

      • Benjamin Mund, Karl-Heinz Steinke

      Pages 174-185

   3. Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding

      • Martina Dümcke, Hiroki Takahashi

      Pages 186-196

   4. Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data

      • Mohd Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng

      Pages 197-209

   5. Entropic Quadtrees and Mining Mars Craters

      • Rosanne Vetro, Dan A. Simovici

      Pages 210-221

   6. Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification

      • Yanbo J. Wang, Fan Li, Frans Coenen, Robert Sanderson, Qin Xin

      Pages 222-236

   7. Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders

      • E. Fersini, E. Messina, F. Archetti

      Pages 237-247

These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 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. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

• Clustering
• Multimedia
• bioinformatics
• classification
• data mining
• fuzzy logic
• graph mining
• knowledge
• learning
• machine learning
• neural network
• process mining
• proving
• self-organizing map
• supervised learning

• Institut für Bildverarbeitung und angewandte Informatik, Leipzig, Deutschland

  Petra Perner

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