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Stankovic, S.V., Rakocevic, G., Kojic, N. and Mllicev, D. (2012) A Classification and Comparison of Data Mining Algorithms for Wireless Sensor Networks. 2012 IEEE International Conference on Industrial Technology, Athens, 19-21 March 2012, 265-270.

has been cited by the following article:

• TITLE: A Novel Data Preparation Approach for Target Based Association Rule Mining

  AUTHORS: Prachi Singh, Rajendra Kumar Gupta

  KEYWORDS: Knowledge Discovery, Point of Coverage Wireless Sensor Networks

  JOURNAL NAME: Wireless Sensor Network, Vol.6 No.11, November 24, 2014

  ABSTRACT: Target based association rules extract the correlation between targets in and around strategically specified regions. These rules can be used to predict and estimate the future results and find the faulty targets, etc. To extract these rules efficiently and effectively data preparation is required. The existing mechanisms of data preparation have the problem of redundancy in the data. As a consequence, extra energy is required for the sensors which used to monitor the targets. In this paper, authors propose a novel data preparation approach for target based association rule mining from the point of coverage wireless sensor networks, which reduces the redundancy in the data and thus enhances the performance of the network.