Data Analysis, Machine Learning and Knowledge Discovery
Udo Bankhofer, Dieter William Joenssen (auth.), Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds.)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.
年:
2014
出版:
1
出版社:
Springer International Publishing
语言:
english
页:
470
ISBN 10:
3319015958
ISBN 13:
9783319015958
系列:
Studies in Classification, Data Analysis, and Knowledge Organization
文件:
PDF, 8.42 MB
IPFS:
,
english, 2014
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