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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

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Data Analysis, Machine Learning and Applications

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

Publisher Springer Science & Business Media
Published Date 2008-04-13
Page Count 719
Categories Computers / Artificial Intelligence / General, Mathematics / Probability & Statistics / General, Business & Economics / Information Management, Computers / Data Science / Data Analytics, Computers / Information Technology, Business & Economics / Business Mathematics
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 354078246X
Book Cover

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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