Overview
- Presents a new way for strategic
- Use of Large-Scale Data Sets in Business
- Demonstrates how Data Mining can be used to Revitalize your Business
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 3)
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About this book
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.
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Keywords
Table of contents (15 chapters)
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Fundamental Technologies Supporting Service Science
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Knowledge Discovery from Text
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Approach for New Services in Social Media
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Data Mining Spreading into Various Service Fields
Reviews
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)
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Service
Editors: Katsutoshi Yada
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-642-45252-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-45251-2Published: 16 January 2014
Softcover ISBN: 978-3-662-50743-8Published: 27 August 2016
eBook ISBN: 978-3-642-45252-9Published: 03 January 2014
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 291
Number of Illustrations: 97 b/w illustrations, 12 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory