Studies in Big Data

Data Mining for Service

Editors: Yada, Katsutoshi (Ed.)

  • 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
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  • ISBN 978-3-642-45252-9
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Hardcover $129.00
price for USA
  • ISBN 978-3-642-45251-2
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Softcover $129.00
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  • Due: October 14, 2016
  • ISBN 978-3-662-50743-8
  • Free shipping for individuals worldwide
Rent the ebook  
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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.

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)


Table of contents (15 chapters)

  • Data Mining for Service

    Yada, Katsutoshi

    Pages 3-10

  • Feature Selection Over Distributed Data Streams

    Kogan, Jacob

    Pages 11-26

  • Learning Hidden Markov Models Using Probabilistic Matrix Factorization

    Tewari, Ashutosh (et al.)

    Pages 27-39

  • Dimensionality Reduction for Information Retrieval Using Vector Replacement of Rare Terms

    Berka, Tobias (et al.)

    Pages 41-60

  • Panel Data Analysis Via Variable Selection and Subject Clustering

    Lu, Haibing (et al.)

    Pages 61-76

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-45252-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-45251-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 14, 2016
  • ISBN 978-3-662-50743-8
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining for Service
Editors
  • Katsutoshi Yada
Series Title
Studies in Big Data
Series Volume
3
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-45252-9
DOI
10.1007/978-3-642-45252-9
Hardcover ISBN
978-3-642-45251-2
Softcover ISBN
978-3-662-50743-8
Series ISSN
2197-6503
Edition Number
1
Number of Pages
VIII, 291
Number of Illustrations and Tables
97 b/w illustrations, 12 illustrations in colour
Topics