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Data Analysis, Machine Learning and Applications

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007

By Christine Preisach , Hans Burkhardt , Lars Schmidt-Thieme , Reinhold Decker

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  • ISBN13: 978-3-5407-8239-1
  • 736 Pages
  • User Level: Science
  • Publication Date: April 13, 2008
  • Available eBook Formats: PDF
Full Description
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Table of Contents

Table of Contents

  1. Classification.
  2. Clustering.
  3. Multidimensional Data Analysis.
  4. Analysis of Complex Data.
  5. Exploratory Data Analysis and Tools for Data Analysis.
  6. Marketing and Management Science.
  7. Banking and Finance.
  8. Business Intelligence.
  9. Text Mining, Web Mining, and the Semantic Web.
  10. Linguistics.
  11. Data Analysis in Humanities.

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