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Mining space-time regions of events is an important task in data mining. It has wide applications in various disciplines, such as epidemiology, meteorology. The existing space-time regions events mining algorithms usually based on clustering analysis, which is difficult to detect irregularly shaped events when they evolve by time. Meanwhile parameter-setting is also a difficult problem for most existing...
The Internet of Things is going to create a seamless integration of physical objects and information network. Ubiquitous sensors are deployed to support the vision of IoT. In this paper, based on an agricultural IoT platform, we propose a new clustering algorithm to cluster multi-type sensor data streams to provide future prediction for batches data of a certain farm product.
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