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™.
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机译：人们越来越关注移动/无处不在设备上的实时数据流分析。广泛的数据流处理应用程序旨在在计算能力有限的移动手持设备上运行，例如患者监控，驾驶员监控，为紧急呼叫提供实时分析和可视化，为快递员上门和送货优化物流等在本文中，我们介绍了第一个用于移动数据挖掘的通用工具包。 Open Mobile Miner（OMM）工具包易于使用，可以部署在各种移动设备上，具有可扩展性，并且可以针对特定于应用程序的需求进行定制。在以下三种不同设置下正在运行的系统的视频可在以下位置获得：http://www.csse.monash.edu.au/~shonali/OMM/OMMVideoDemo。 asf，可以使用Windows Media Player™查看。
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