Nearest Neighbour Classification for Wireless Sensor Network Data
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%.