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Data Mining for Service

  • Book
  • © 2014


  • 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:

Part of the book series: Studies in Big Data (SBD, volume 3)

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Table of contents (15 chapters)

  1. Fundamental Technologies Supporting Service Science

  2. Knowledge Discovery from Text

  3. Approach for New Services in Social Media

  4. Data Mining Spreading into Various Service Fields


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.


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

  • Faculty of Commerce, Kansai University, Osaka, Japan

    Katsutoshi Yada

Bibliographic Information

  • Book Title: Data Mining for Service

  • Editors: Katsutoshi Yada

  • Series Title: Studies in Big Data

  • DOI:

  • 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

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