A Novel Data Preparation Approach for Target Based Association Rule Mining

• 作者: Prachi Singh Rajendra Kumar Gupta
• 来源期刊: 无线传感网络(英文)
• 学科: 医学
• 关键词: KNOWLEDGE DISCOVERY Point of COVERAGE WIRELESS SENSOR Networks
• 年，卷（期）: 2014,（11）
• 页码范围: 249-255
• 页数: 7页
• 分类号: R73

摘要

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.