Studies in Classification, Data Analysis, and Knowledge Orga

By: Myra Spiliopoulou (Editor), Lars Schmidt-Thieme (Editor), Ruth Janning (Editor)

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Paperback | 9 December 2013

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494 Pages

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22.86 x 15.24 x 2.54

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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. ?

Industry Reviews

From the book reviews:

"The book is organized in seven parts ... . The book is a very interesting collection of papers describing various approaches of data mining and machine learning on aspects from bioinformatics to music classification. It is an excellent addition to the field and it can be used as starting point for projects from undergraduate to post-graduate level." (Irina Ioana Mohorianu, zbMATH, Vol. 1301, 2015)

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