Analysis of Large and Complex Data
Published on 4. August 2016
Book
Paperback/Softback
XXVI, 656 pages
978-3-319-25224-7 (ISBN)
Description
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.
Reviews / Votes
"Analysis of Large and Complex Data is a useful book for those who are very well read in sophisticated data analysis across variety of disciplines and are looking for a book that captures state-of-the-art scientific papers across a wide cross-section." (Jonathan P. Wanderer, Anesthesia & Analgesia, Vol. 125 (1), July, 2017)More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
139 s/w Abbildungen, 32 farbige Abbildungen
XXVI, 656 p. 171 illus., 32 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 37 mm
Weight
1019 gr
ISBN-13
978-3-319-25224-7 (9783319252247)
DOI
10.1007/978-3-319-25226-1
Schweitzer Classification
Other editions
Additional editions
Adalbert F.X. Wilhelm | Hans A. Kestler
Analysis of Large and Complex Data
E-Book
08/2016
Springer
€160.49
Available for download
Content
Part I Invited Papers.- Part II Big Data.- Part III Clustering.- Part IV Classification.- Part V Regression and other Statistical Techniques.- Part VI Applications.- Part VII Data Analysis in Marketing.- Part VIII Data Analysis in Finance.- Part IX Data Analysis in Medicine and Life Sciences.- Part X Data Analysis in Musicology.- Part XI Data Analysis in Interdisciplinary Domains.- Part XII Data Analysis in Social, Behavioural and Health Care Sciences.- Part XIII Data Analysis in Library Science.-