Real-time pattern map mining for USN application

Authors:
Jaein Kim;Pilsun Choi;Buhyun Hwang
Affiliations:
Chonnam National University, Yongbong-dong Gwang-Ju Korea;Chonnam National University, Yongbong-dong Gwang-Ju Korea;Chonnam National University, Yongbong-dong Gwang-Ju Korea
Venue:
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Year:
2012

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Abstract

In USN system, data streams are generated from several sensor nodes continuously. Therefore, patterns from data streams can be occur continuously and be a very long sequence pattern. However, it is very expensive to mine a very long sequence pattern using existing pattern mining methods. In this paper, we define the Pattern Map to store serial patterns and we propose the Pattern Map mining to discover useful information from the Pattern Map in real-time. Also, we define the Meaning Window to produce transactions from data streams and we define the HAPM(HAsh based Pattern Map) as a new data structure to represent the Pattern Map. Finally, we introduce Local Rules and the Global Rules as a new rule concept for USN application environments.