Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Table of contents (83 papers)
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Classification
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Clustering
Keywords
About this book
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.
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Editors and Affiliations
Bibliographic Information
Book Title: Data Analysis, Machine Learning and Applications
Book Subtitle: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007
Editors: Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-3-540-78246-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-78239-1Published: 29 April 2008
eBook ISBN: 978-3-540-78246-9Published: 13 April 2008
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XVI, 719
Topics: Artificial Intelligence, Statistics, general, IT in Business, Data Mining and Knowledge Discovery