Mobile data stream mining: from algorithms to applications

S. Krishnaswamy, J. Gama, M. Gaber

Research output: Contribution to conferencePaperpeer-review

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Abstract

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.
Original languageEnglish
Publication statusPublished - Jul 2012
EventProceedings of the IEEE International Conference on Mobile Data Management - Bengaluru, India
Duration: 23 Jul 201226 Jul 2012

Conference

ConferenceProceedings of the IEEE International Conference on Mobile Data Management
Country/TerritoryIndia
CityBengaluru
Period23/07/1226/07/12

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