DocumentCode
1982425
Title
Mobile Data Stream Mining: From Algorithms to Applications
Author
Krishnaswamy, Shonali ; Gama, Joao ; Gaber, Mohamed Medhat
Author_Institution
Inst. for Infocomm Res. (I2R), Monash Univ., Clayton, VIC, Australia
fYear
2012
fDate
23-26 July 2012
Firstpage
360
Lastpage
363
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.
Keywords
data mining; mobile computing; mobile handsets; continuous data mining; mobile activity recognition; mobile crowd sensing; mobile data stream mining; mobile devices; Accuracy; Algorithm design and analysis; Data mining; Data visualization; Distributed databases; Mobile communication; Mobile handsets; Data Stream Mining; Mobile Data Mining; Ubiquitous Data Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management (MDM), 2012 IEEE 13th International Conference on
Conference_Location
Bengaluru, Karnataka
Print_ISBN
978-1-4673-1796-2
Electronic_ISBN
978-0-7695-4713-8
Type
conf
DOI
10.1109/MDM.2012.37
Filename
6341420
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