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Table of contents (7 chapters)
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Front Matter
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Back Matter
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
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.
Keywords
Authors and Affiliations
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State Key Laboratory for Novel Software, Nanjing University, Nanjing, China
Yuan Yao
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Graduate Center, City University of New York, New York, USA
Xing Su
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Arizona State University, Tempe, USA
Hanghang Tong
Bibliographic Information
Book Title: Mobile Data Mining
Authors: Yuan Yao, Xing Su, Hanghang Tong
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-030-02101-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-02100-9Published: 13 November 2018
eBook ISBN: 978-3-030-02101-6Published: 31 October 2018
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: IX, 58
Number of Illustrations: 22 illustrations in colour
Topics: Information Systems and Communication Service, Computer Communication Networks