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
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;
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
DOI :
10.1109/MDM.2012.37
