Analysis of Large and Complex Data

Analysis of Large and Complex Data

by Adalbert F.X. Wilhelm, Hans A. Kestler
ISBN-10:
3319252240
ISBN-13:
9783319252247
Pub. Date:
09/04/2016
Publisher:
Springer International Publishing
ISBN-10:
3319252240
ISBN-13:
9783319252247
Pub. Date:
09/04/2016
Publisher:
Springer International Publishing
Analysis of Large and Complex Data

Analysis of Large and Complex Data

by Adalbert F.X. Wilhelm, Hans A. Kestler

Paperback

$179.99
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Overview

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.


Product Details

ISBN-13: 9783319252247
Publisher: Springer International Publishing
Publication date: 09/04/2016
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Edition description: 1st ed. 2016
Pages: 656
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.-

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