Advances in Data Mining

1. Front Matter

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2. Data Mining in Medicine

   1. Using Prototypes and Adaptation Rules for Diagnosis of Dysmorphic Syndromes

      • Rainer Schmidt, Tina Waligora

      Pages 1-9

   2. OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets

      • Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng

      Pages 10-23

   3. Similarity Searching in DNA Sequences by Spectral Distortion Measures

      • Tuan D. Pham

      Pages 24-37

   4. Multispecies Gene Entropy Estimation, a Data Mining Approach

      • Xiaoxu Han

      Pages 38-52

   5. A Unified Approach for Discovery of Interesting Association Rules in Medical Databases

      • Harleen Kaur, Siri Krishan Wasan, Ahmed Sultan Al-Hegami, Vasudha Bhatnagar

      Pages 53-63

   6. Named Relationship Mining from Medical Literature

      • Isabelle Bichindaritz

      Pages 64-75

   7. Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data

      • Urszula Markowska-Kaczmar, Rafal Matkowski

      Pages 76-90

3. Web Mining and Logfile Analysis

   1. httpHunting: An IBR Approach to Filtering Dangerous HTTP Traffic

      • F. Fdez-Riverola, L. Borrajo, R. Laza, F. J. Rodríguez, D. Martínez

      Pages 91-105

   2. A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain

      • J. R. Méndez, F. Fdez-Riverola, F. Díaz, E. L. Iglesias, J. M. Corchado

      Pages 106-120

   3. Evaluation of Web Robot Discovery Techniques: A Benchmarking Study

      • Nick Geens, Johan Huysmans, Jan Vanthienen

      Pages 121-130

   4. Data Preparation of Web Log Files for Marketing Aspects Analyses

      • Meike Reichle, Petra Perner, Klaus-Dieter Althoff

      Pages 131-145

   5. UP-DRES User Profiling for a Dynamic REcommendation System

      • Enza Messina, Daniele Toscani, Francesco Archetti

      Pages 146-160

   6. Improving Effectiveness on Clickstream Data Mining

      • Cristina Wanzeller, Orlando Belo

      Pages 161-175

   7. Conceptual Knowledge Retrieval with FooCA: Improving Web Search Engine Results with Contexts and Concept Hierarchies

      • Bjoern Koester

      Pages 176-190

4. Theoretical Aspects of Data Mining

   1. A Pruning Based Incremental Construction Algorithm of Concept Lattice

      • Zhang Ji-Fu, Hu Li-Hua, Zhang Su-Lan

      Pages 191-201

   2. Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming

      • Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu

      Pages 202-216

   3. Ordinal Classification with Monotonicity Constraints

      • Tomáš Horváth, Peter Vojtáš

      Pages 217-225

   4. Local Modelling in Classification on Different Feature Subspaces

      • Gero Szepannek, Claus Weihs

      Pages 226-238

   5. Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation

      • Sylvain Ferrandiz, Marc Boullé

      Pages 239-249

The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. We are pleased to note that the topic data mining with special emphasis on real-world applications has been adopted by so many researchers all over the world into their research work. We received 156 papers from 19 different countries. The main topics are data mining in medicine and marketing, web mining, mining of images and signals, theoretical aspects of data mining, and aspects of data mining that bundle a series of different data mining applications such as intrusion detection, knowledge management, manufacturing process control, time-series mining and criminal investigations. The Program Committee worked hard in order to select the best papers. The acceptance rate was 30%. All these selected papers are published in this proceedings volume as long papers up to 15 pages. Moreover we installed a forum where work in progress was presented. These papers are collected in a special poster proceedings volume and show once more the potentials and interesting developments of data mining for different applications. Three new workshops have been established in connection with ICDM: (1) Mass Data Analysis on Images and Signals, MDA 2006; (2) Data Mining for Life Sciences, DMLS 2006; and (3) Data Mining in Marketing, DMM 2006. These workshops are developing new topics for data mining under the aspect of the special application. We are pleased to see how many interesting developments are going on in these fields.

• Alignment
• Fuzzy
• Performance
• algorithmic learning
• business data mining
• classification
• clustering
• communication
• data mining
• e-learning
• intrusion detection
• knowledge management
• log data mining
• multidimensional scaling
• robot

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

  Petra Perner

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