作者
Md Mamunur Rashid, Iqbal Gondal, Joarder Kamruzzaman
发表日期
2014/7/6
研讨会论文
2014 International Joint Conference on Neural Networks (IJCNN)
页码范围
3713-3719
出版商
IEEE
简介
Due to recent advances in wireless sensor networks (WSNs) and their ability to generate huge amount of data in the form of streams, knowledge discovery techniques have received a great deal of attention to extract useful knowledge regarding the underlying network. Traditionally sensor association rules measure occurrence frequency of patterns. However, these rules often generate a huge number of rules, most of which are non-informative or fail to reflect the true correlation among data objects. In this paper, we propose a new type of sensor behavioral pattern called associated sensor patterns that captures association-like co-occurrences and the strong temporal correlations implied by such co-occurrences in the sensor data. We also propose a novel tree structure called as associated sensor pattern tree (ASPT) and a mining algorithm, associated sensor pattern (ASP) which facilitates frequent pattern (FP …
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MM Rashid, I Gondal, J Kamruzzaman - 2014 International Joint Conference on Neural …, 2014