Data analysis, machine learning and knowledge discovery [electronic resource] / Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning, editors.
2014
Q325.5
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Title
Data analysis, machine learning and knowledge discovery [electronic resource] / Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning, editors.
ISBN
9783319015958 electronic book
3319015958 electronic book
9783319015941
3319015958 electronic book
9783319015941
Published
Cham : Springer, 2014.
Language
English
Description
1 online resource (430 pages) : illustrations.
Item Number
10.1007/978-3-319-01595-8 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
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.
Note
Includes indexes.
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Access limited to authorized users.
Source of Description
Description based on print version record.
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Series
Studies in classification, data analysis, and knowledge organization.
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