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SpringerBriefs in Computer Science

Mobile Data Mining

Authors: Yao, Yuan, Su, Xing, Tong, Hanghang

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eBook 46,00 €
price for Spain (gross)
  • ISBN 978-3-030-02101-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
About this book

This SpringerBrief presents a typical life-cycle of mobile data mining applications, including:

  • data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on smartphone sensors
  •  feature engineering which extracts and selects features to serve as the input of algorithms based on the collected and processed data
  •  model and algorithm design
In particular, this brief concentrates on the model and algorithm design aspect, and explains three challenging requirements of mobile data mining applications: energy-saving, personalization, and real-time

 Energy saving is a fundamental requirement of mobile applications, due to the limited battery capacity of smartphones. The authors  explore the existing practices in the methodology level (e.g. by designing hierarchical models) for saving energy. Another fundamental requirement of mobile applications is personalization.  Most of the existing methods tend to train generic models for all users, but the authors provide existing personalized treatments for mobile applications, as the behaviors may differ greatly from one user to another in many mobile applications. The third requirement is real-time. That is, the mobile application should return responses in a real-time manner, meanwhile balancing effectiveness and efficiency.

 This SpringerBrief targets data mining and machine learning researchers and practitioners working in these related fields. Advanced level students studying computer science and electrical engineering will also find this brief useful as a study guide. 

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 46,00 €
price for Spain (gross)
  • ISBN 978-3-030-02101-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Mobile Data Mining
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-02101-6
DOI
10.1007/978-3-030-02101-6
Softcover ISBN
978-3-030-02100-9
Series ISSN
2191-5768
Edition Number
1
Number of Pages
IX, 58
Number of Illustrations
22 illustrations in colour
Topics