Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft fur Klassifikation e.V., Albert-Ludwigs-Universitat Freiburg, March 7-9, 2007 (Paperback, 2008 ed.)


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 fur Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


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Product 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 fur Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Classification, Data Analysis, and Knowledge Organization

Release date

April 2008

Availability

Expected to ship within 10 - 15 working days

First published

2008

Editors

, , ,

Dimensions

235 x 155 x 37mm (L x W x T)

Format

Paperback

Pages

719

Edition

2008 ed.

ISBN-13

978-3-540-78239-1

Barcode

9783540782391

Categories

LSN

3-540-78239-7



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