Fr. 135.00

Data Mining for Service

English · Paperback / Softback

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Description

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Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc.
Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.
Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to other fields.

List of contents

Part I Fundamental Technologies Supporting Service Science.- Part II Knowledge Discovery from Text.- Part III Approach for New Services in Social Media.- Part IV Data Mining Spreading into Various Service Fields.

Summary

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc.
Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.
Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to other fields.

Additional text

From the book reviews:
“This book is a must-read for data mining practitioners in the service sector, as it gives state-of-the-art information about new technologies, strategies, and devices that will help improve the efficiency and usefulness of data mining in this field. It will also be of interest to researchers, as data mining in the service sector is realizing its full potential and is an interesting field to be in since many cutting-edge technologies are at play here.” (Alexis Leon, Computing Reviews, June, 2014)

Report

From the book reviews:
"This book is a must-read for data mining practitioners in the service sector, as it gives state-of-the-art information about new technologies, strategies, and devices that will help improve the efficiency and usefulness of data mining in this field. It will also be of interest to researchers, as data mining in the service sector is realizing its full potential and is an interesting field to be in since many cutting-edge technologies are at play here." (Alexis Leon, Computing Reviews, June, 2014)

Product details

Assisted by Katsutosh Yada (Editor), Katsutoshi Yada (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2016
 
EAN 9783662507438
ISBN 978-3-662-50743-8
No. of pages 291
Dimensions 155 mm x 16 mm x 235 mm
Weight 458 g
Illustrations VIII, 291 p. 109 illus., 12 illus. in color.
Series Studies in Big Data
Studies in Big Data
Subjects Natural sciences, medicine, IT, technology > Technology > General, dictionaries

Operations Research, B, Artificial Intelligence, Management: Entscheidungstheorie, engineering, Operations Research/Decision Theory, Operations Research and Decision Theory, Management decision making, Operational research, Decision Making, Computational Intelligence

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