Pocket Data Mining Big Data on Small Devices
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 resear
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Mohamed Medhat Gaber Frederic Stahl João Bártolo Gomes
Pocket Data Mining Big Data on Small Devices
Studies in Big Data Volume 2
Series Editor Janusz Kacprzyk, Warsaw, Poland
For further volumes: http://www.springer.com/series/11970
Mohamed Medhat Gaber · Frederic Stahl João Bártolo Gomes
Pocket Data Mining Big Data on Small Devices
ABC
João Bártolo Gomes Institute for Infocomm Research (I2 R) Agency for Science, Technology and Research (A*STAR) Singapore
Mohamed Medhat Gaber School of Computing Science and Digital Media Robert Gordon University Aberdeen UK Frederic Stahl School of Systems Engineering The University of Reading Reading United Kingdom
ISSN 2197-6503 ISBN 978-3-319-02710-4 DOI 10.1007/978-3-319-02711-1
ISSN 2197-6511 (electronic) ISBN 978-3-319-02711-1 (eBook)
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Acknowledgements
The authors would like to acknowledge the work done by our visiting students at the University of Portsmouth Victor Mandujano and Oscar Campos in porting the PDM system from the desktop to the mobile environment. Also their contribution to Chapter 4 is acknowledge
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