Open Mobile Miner: a toolkit for mobile data stream
mining

S. Krishnaswamy; M. Gaber; M. Harbach; C. Hugues; A. Sinha; B. Gillick; P. Haghighi; A. Zaslavsky

Open Mobile Miner: a toolkit for mobile data stream mining

S. Krishnaswamy, M. Gaber, M. Harbach, C. Hugues, A. Sinha, B. Gillick, P. Haghighi, A. Zaslavsky

School of Computing

Research output: Contribution to conference › Other

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Abstract

There is an emerging focus on real-time data stream analysis on mobile/ubiquitous devices. A wide range of data stream processing applications are targeted to run on mobile handheld devices with limited computational capabilities such as patient monitoring, driver monitoring, providing real-time analysis and visualization for emergency calls, optimization of logistics for courier pick-up and delivery etc. In this paper, we present the first generic toolkit for mobile data mining. The Open Mobile Miner (OMM) toolkit is easy to use, can be deployed on a range of mobile devices, is extensible and can be customized for application specific needs. A video of the system in operation for three different settings is available at: http://www.csse.monash.edu.au/~shonali/OMM/OMMVideoDemo. asf and can be viewed using Windows Media Player™.

Original language	English
Publication status	Published - 28 Jun 2009
Event	ACM KDD’09 - Paris, France Duration: 1 Jun 2009 → …

Conference

Conference	ACM KDD’09
Country/Territory	France
City	Paris
Period	1/06/09 → …

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D02-kdd09demo.pdf

Cite this

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title = "Open Mobile Miner: a toolkit for mobile data stream mining",

abstract = "There is an emerging focus on real-time data stream analysis on mobile/ubiquitous devices. A wide range of data stream processing applications are targeted to run on mobile handheld devices with limited computational capabilities such as patient monitoring, driver monitoring, providing real-time analysis and visualization for emergency calls, optimization of logistics for courier pick-up and delivery etc. In this paper, we present the first generic toolkit for mobile data mining. The Open Mobile Miner (OMM) toolkit is easy to use, can be deployed on a range of mobile devices, is extensible and can be customized for application specific needs. A video of the system in operation for three different settings is available at: http://www.csse.monash.edu.au/~shonali/OMM/OMMVideoDemo. asf and can be viewed using Windows Media Player{\texttrademark}.",

author = "S. Krishnaswamy and M. Gaber and M. Harbach and C. Hugues and A. Sinha and B. Gillick and P. Haghighi and A. Zaslavsky",

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T1 - Open Mobile Miner: a toolkit for mobile data stream mining

AU - Krishnaswamy, S.

AU - Gaber, M.

AU - Harbach, M.

AU - Hugues, C.

AU - Sinha, A.

AU - Gillick, B.

AU - Haghighi, P.

AU - Zaslavsky, A.

PY - 2009/6/28

Y1 - 2009/6/28

N2 - There is an emerging focus on real-time data stream analysis on mobile/ubiquitous devices. A wide range of data stream processing applications are targeted to run on mobile handheld devices with limited computational capabilities such as patient monitoring, driver monitoring, providing real-time analysis and visualization for emergency calls, optimization of logistics for courier pick-up and delivery etc. In this paper, we present the first generic toolkit for mobile data mining. The Open Mobile Miner (OMM) toolkit is easy to use, can be deployed on a range of mobile devices, is extensible and can be customized for application specific needs. A video of the system in operation for three different settings is available at: http://www.csse.monash.edu.au/~shonali/OMM/OMMVideoDemo. asf and can be viewed using Windows Media Player™.

AB - There is an emerging focus on real-time data stream analysis on mobile/ubiquitous devices. A wide range of data stream processing applications are targeted to run on mobile handheld devices with limited computational capabilities such as patient monitoring, driver monitoring, providing real-time analysis and visualization for emergency calls, optimization of logistics for courier pick-up and delivery etc. In this paper, we present the first generic toolkit for mobile data mining. The Open Mobile Miner (OMM) toolkit is easy to use, can be deployed on a range of mobile devices, is extensible and can be customized for application specific needs. A video of the system in operation for three different settings is available at: http://www.csse.monash.edu.au/~shonali/OMM/OMMVideoDemo. asf and can be viewed using Windows Media Player™.

M3 - Other

T2 - ACM KDD’09

Y2 - 1 June 2009

ER -

Open Mobile Miner: a toolkit for mobile data stream mining

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Conference

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