Data Analysis, Machine Learning and Knowledge Discovery
Author:   Myra Spiliopoulou ,  Lars Schmidt-Thieme ,  Ruth Janning
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
ISBN:  

9783319015941


Pages:   470
Publication Date:   09 December 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Analysis, Machine Learning and Knowledge Discovery


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Overview

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. ​

Full Product Details

Author:   Myra Spiliopoulou ,  Lars Schmidt-Thieme ,  Ruth Janning
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   7.372kg
ISBN:  

9783319015941


ISBN 10:   331901594
Pages:   470
Publication Date:   09 December 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection.- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks.- AREA Data Analysis and Classification in Marketing.- AREA Data Analysis in Finance.- AREA Data Analysis in Biostatistics and Bioinformatics.- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science.

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)


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)


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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