Data Analysis, Machine Learning and Knowledge Discovery (2014) (Studies in Classification, Data Analysis, and Knowledge Organization)

By: Myra Spiliopoulou and Lars Schmidt-Thieme and Ruth Janning

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783319015958
Related ISBNs:: 9783319015941
Publisher:: Springer International Publishing
Date of Addition:: 08/25/19
Copyrighted By:: Springer International Publishing, Cham
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Business and Finance, Psychology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Myra Spiliopoulou
Edited by:: Lars Schmidt-Thieme
Edited by:: Ruth Janning