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Data Mining for Service

  • Katsutoshi Yada

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Fundamental Technologies Supporting Service Science

    1. Front Matter
      Pages 1-1
    2. Katsutoshi Yada
      Pages 3-10
    3. Ashutosh Tewari, Michael J. Giering
      Pages 27-39
    4. Haibing Lu, Shengsheng Huang, Yingjiu Li, Yanjiang Yang
      Pages 61-76
  3. Knowledge Discovery from Text

    1. Front Matter
      Pages 77-77
    2. Omar Al-Azzam, Jianfei Wu, Loai Al-Nimer, Charith Chitraranjan, Anne M. Denton
      Pages 79-96
    3. Sujoy Roy, Ramin Homayouni, Michael W. Berry, Andrey A. Puretskiy
      Pages 97-110
    4. Hironori Takeuchi, Takahira Yamaguchi
      Pages 111-129
  4. Approach for New Services in Social Media

    1. Front Matter
      Pages 131-131
    2. Xiaoling Chen, Rajarathnam Chandramouli, Koduvayur P. Subbalakshmi
      Pages 133-150
    3. Sunil Kumar Gupta, Dinh Phung, Brett Adams, Svetha Venkatesh
      Pages 151-170
    4. Chen Wei, Richard Khoury, Simon Fong
      Pages 171-196
  5. Data Mining Spreading into Various Service Fields

    1. Front Matter
      Pages 197-197
    2. Barnan Das, Narayanan C. Krishnan, Diane J. Cook
      Pages 199-219
    3. Maitreya Natu, Girish Keshav Palshikar
      Pages 245-269

About this book

Introduction

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.

Keywords

Data Mining Domain Knowledge Large Database Sensor Network Social Media Strategic Use of Data

Editors and affiliations

  • Katsutoshi Yada
    • 1
  1. 1.Faculty of CommerceKansai UniversityOsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-45252-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-45251-2
  • Online ISBN 978-3-642-45252-9
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site