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Advances in wireless technologies have led to the development of sensor nodes that are capable of sensing, processing, and transmitting. They collect large amounts of sensor data in a highly decentralized manner. Classification is an important task in data mining. In this paper, a Nearest Neighbour Classification technique is used to classify the Wireless Sensor Network data. The authors' experimental investigation yields a significant output in terms of the correctly classified success rate being 92.3%.
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