Studies in Big Data

Pocket Data Mining

Big Data on Small Devices

Authors: Gaber, Mohamed Medhat, Stahl, Frederic, Gomes, Joao Bártolo

  • Introduction to "Pocket Data Mining"
  • Describes the process of performing collaborative distributed data stream mining in the mobile computing environment
  • Written by experts in the field
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  • ISBN 978-3-319-02711-1
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Hardcover $129.00
price for USA
  • ISBN 978-3-319-02710-4
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Softcover $129.00
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  • ISBN 978-3-319-34686-1
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About this book

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Table of contents (8 chapters)

  • Introduction

    Gaber, Mohamed Medhat (et al.)

    Pages 1-5

  • Background

    Gaber, Mohamed Medhat (et al.)

    Pages 7-21

  • Pocket Data Mining Framework

    Gaber, Mohamed Medhat (et al.)

    Pages 23-40

  • Implementation of Pocket Data Mining

    Gaber, Mohamed Medhat (et al.)

    Pages 41-59

  • Context-Aware PDM (Coll-Stream)

    Gaber, Mohamed Medhat (et al.)

    Pages 61-68

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-02711-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-02710-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-34686-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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
Pocket Data Mining
Book Subtitle
Big Data on Small Devices
Authors
Series Title
Studies in Big Data
Series Volume
2
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-02711-1
DOI
10.1007/978-3-319-02711-1
Hardcover ISBN
978-3-319-02710-4
Softcover ISBN
978-3-319-34686-1
Series ISSN
2197-6503
Edition Number
1
Number of Pages
IX, 108
Number of Illustrations and Tables
46 b/w illustrations
Topics