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Pocket Data Mining

Big Data on Small Devices

  • Mohamed Medhat Gaber
  • Frederic Stahl
  • João Bártolo Gomes

Part of the Studies in Big Data book series (SBD, volume 2)

Table of contents

  1. Front Matter
    Pages 1-7
  2. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 1-5
  3. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 7-21
  4. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 23-40
  5. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 41-59
  6. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 61-68
  7. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 69-80
  8. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 81-94
  9. Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes
    Pages 95-98
  10. Back Matter
    Pages 99-107

About this book

Introduction

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.

Keywords

Collaborative Distributed Data Stream Mining Computational Intelligence Mobile Computing Environment Pocket Data Mining

Authors and affiliations

  • Mohamed Medhat Gaber
    • 1
  • Frederic Stahl
    • 2
  • João Bártolo Gomes
    • 3
  1. 1.School of Computing Science and Digital MediaRobert Gordon University, Riverside EastAberdeenUnited Kingdom
  2. 2.School of Systems EngineeringThe University of ReadingReadingUnited Kingdom
  3. 3.Agency for Science, Technology and Research (A*STAR)Institute for Infocomm Research (I²R)SingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-02711-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-02710-4
  • Online ISBN 978-3-319-02711-1
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site
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