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Mobile Data Stream Mining: From Algorithms to Applications

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3 Author(s)
Shonali Krishnaswamy ; Inst. for Infocomm Res. (I2R), Monash Univ., Clayton, VIC, Australia ; Joao Gama ; Mohamed Medhat Gaber

This paper presents an overview of the current state-of-the-art in mobile data stream mining. This area of mobile data stream mining is significant for a number of new application domains such as mobile crowd sensing and mobile activity recognition. The paper presents the strategies and techniques for adaptation that are essential in order to perform real-time, continuous data mining on mobile devices. We present an overview of the algorithms research in this area. Finally, we discuss the key toolkits, systems and applications of mobile data stream mining.

Published in:

2012 IEEE 13th International Conference on Mobile Data Management

Date of Conference:

23-26 July 2012