Advances in Intelligent Data Analysis VII

1. Knowledge Discovery

   1. Subrule Analysis and the Frequency-Confidence Diagram

      • Jürgen Paetz

      Pages 219-228

   2. A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables

      • Jean-Philippe Pellet, André Elisseeff

      Pages 229-239

2. Visualization

   1. Visualizing Sets of Partial Rankings

      • Antti Ukkonen

      Pages 240-251

   2. A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization

      • Ángela Blanco, Manuel Martín-Merino

      Pages 252-262

   3. Landscape Multidimensional Scaling

      • Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy

      Pages 263-273

3. Text Mining

   1. A Support Vector Machine Approach to Dutch Part-of-Speech Tagging

      • Mannes Poel, Luite Stegeman, Rieks op den Akker

      Pages 274-283

   2. Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering

      • Krzysztof Ciesielski, Mieczysław A. Kłopotek

      Pages 284-295

   3. Does SVM Really Scale Up to Large Bag of Words Feature Spaces?

      • Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil

      Pages 296-307

4. Bioinformatics

   1. Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers

      • Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam, Xiaohui Liu

      Pages 308-319

   2. Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences

      • Mehmet Kaya

      Pages 320-331

   3. Soft Topographic Map for Clustering and Classification of Bacteria

      • Massimo La Rosa, Giuseppe Di Fatta, Salvatore Gaglio, Giovanni M. Giammanco, Riccardo Rizzo, Alfonso M. Urso

      Pages 332-343

5. Applications

   1. Fuzzy Logic Based Gait Classification for Hemiplegic Patients

      • Ahmet Yardimci

      Pages 344-354

   2. Traffic Sign Recognition Using Discriminative Local Features

      • Andrzej Ruta, Yongmin Li, Xiaohui Liu

      Pages 355-366

   3. Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression

      • Ole Edsberg, Øystein Nytrø, Thomas Brox Røst

      Pages 367-378

6. Back Matter

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Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.

• Analysis
• classification
• cognition
• data analysis
• data mining
• learning
• machine learning
• modeling
• pattern recognition
• statistics
• visualization

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