Advances in Data Mining

1. Front Matter

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2. Case-Based Reasoning

   1. Neuro-symbolic System for Business Internal Control

      • Juan M. Corchado, M. Lourdes Borrajo, María A. Pellicer, J. Carlos Yáñez

      Pages 1-10

   2. Applying Case Based Reasoning Approach in Analyzing Organizational Change Management Data

      • Orit Raphaeli, Jacob Zahavi, Ron Kenett

      Pages 11-22

   3. Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations

      • Leon Bobrowski, Magdalena Topczewska

      Pages 23-32

   4. An IBR System to Quantify the Ocean’s Carbon Dioxide Budget

      • Juan M. Corchado, Emilio S. Corchado, Jim Aiken

      Pages 33-41

   5. A Beta-Cooperative CBR System for Constructing a Business Management Model

      • Emilio S. Corchado, Juan M. Corchado, Lourdes Sáiz, Ana Lara

      Pages 42-49

3. Image Mining

   1. Braving the Semantic Gap: Mapping Visual Concepts from Images and Videos

      • Da Deng

      Pages 50-59

   2. Mining Images to Find General Forms of Biological Objects

      • Petra Perner, Horst Perner, Angela Bühring, Silke Jänichen

      Pages 60-68

4. Applications in Process Control and Insurance

   1. The Main Steps to Data Quality

      • Joachim Schmid

      Pages 69-77

   2. Cost-Sensitive Design of Claim Fraud Screens

      • Stijn Viaene, Dirk Van Gheel, Mercedes Ayuso, Montserrat Guillén

      Pages 78-87

   3. An Early Warning System for Vehicle Related Quality Data

      • Matthias Grabert, Markus Prechtel, Tomas Hrycej, Winfried Günther

      Pages 88-95

5. Clustering and Association Rules

   1. Shape-Invariant Cluster Validity Indices

      • Greet Frederix, Eric J. Pauwels

      Pages 96-105

   2. Mining Indirect Association Rules

      • Shinichi Hamano, Masako Sato

      Pages 106-116

   3. An Association Mining Method for Time Series and Its Application in the Stock Prices of TFT-LCD Industry

      • Chiung-Fen Huang, Yen-Chu Chen, An-Pin Chen

      Pages 117-126

   4. Clustering of Web Sessions Using Levenshtein Metric

      • Andrei Scherbina, Sergey Kuznetsov

      Pages 127-133

6. Telecommunication

   1. A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks

      • Sherif Rashad, Mehmed Kantardzic, Anup Kumar

      Pages 134-143

   2. Mining of an Alarm Log to Improve the Discovery of Frequent Patterns

      • Françoise Fessant, Fabrice Clérot, Christophe Dousson

      Pages 144-152

7. Medicine and Biotechnology

   1. Feature Selection and Classification Model Construction on Type 2 Diabetic Patient’s Data

      • Yue Huang, Paul McCullagh, Norman Black, Roy Harper

      Pages 153-162

   2. Knowledge Based Phylogenetic Classification Mining

      • Isabelle Bichindaritz, Stephen Potter, Société Française de Systématique

      Pages 163-172

8. Back Matter

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The Industrial Conference on Data Mining ICDM-Leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. The mission of the conference is to bring together researchers and people from industry in order to discuss together new trends and applications in data mining. This year a broad spectrum of work of different applications was presented ranging from image mining, medicine and biotechnology, management and environmental control, to telecommunications. Besides that an industrial exhibition showed the successful application of data mining methods by industries in different areas such as medical devices, mass data management systems, data mining tools, etc. During the discussion many projects were inspired leading to new and joint work. The fruitful discussions, the exchange of ideas and the spirit of the conference made it a remarkable event for both sides, industry and research. We would like to express our appreciation to the reviewers for their precise and highly professional work. We appreciate the help and understanding of the editorial staff at Springer and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. Last, but not least, we wish to thank all speakers, participants and industrial exhibitors who contributed to the success of the conference. We are looking forward to welcoming you to ICDM 2005 (www.data-mini- forum.de) and to the new work you will present there.

• Case-Based Reasoning
• access control
• algorithmic learning
• association rule mining
• bioinformatics
• business data mining
• classification
• clustering
• data mining
• image mining
• knowledge discovery
• log data mining
• medical data mining
• video mining

• Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

  Petra Perner

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