Data Analysis, Machine Learning and Knowledge Discovery

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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. ?
Pages
470 pages
Collection
Studies in Classification, Data Analysis, and Knowledge Organization
Parution
2013-11-26
Marque
Springer
EAN papier
9783319015941
EAN EPUB
9783319015958

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
4311 Ko
Prix
94,94 €