2004 | OriginalPaper | Buchkapitel
Online Mining in Sensor Networks
verfasst von : Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, Dehui Zhang, Shuangfeng Li
Erschienen in: Network and Parallel Computing
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Online mining in large sensor networks just starts to attract interest. Finding patterns in such an environment is both compelling and challenging. The goal of this position paper is to understand the challenges and to identify the research problems in online mining for sensor networks. As an initial step, we identify the following three problems to work on: (1) sensor data irregularities detection; (2) sensor data clustering; and (3) sensory attribute correlations discovery. We also outline our preliminary proposal of solutions to these problems.