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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	November 2013
First published:	2014
Editors:	Myra Spiliopoulou • Lars Schmidt-Thieme • Ruth Janning
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
Categories:	Books > Business & Economics > Business & management > Sales & marketing > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-319-01594-X
Barcode:	9783319015941

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