Data Analysis, Machine Learning and Knowledge Discovery (Paperback, 2014 ed.)


Data analysis, machine learning and knowledge discovery 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, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012.

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Product Description

Data analysis, machine learning and knowledge discovery 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, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Studies in Classification, Data Analysis, and Knowledge Organization

Release date

November 2013

Availability

Expected to ship within 10 - 15 working days

First published

2014

Editors

, ,

Dimensions

235 x 155 x 26mm (L x W x T)

Format

Paperback

Pages

470

Edition

2014 ed.

ISBN-13

978-3-319-01594-1

Barcode

9783319015941

Categories

LSN

3-319-01594-X



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