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Sensors 2014, 14(7), 12937-12957; doi:10.3390/s140712937

Association Rule Extraction from XML Stream Data for Wireless Sensor Networks

College of Information and Communication Engineering, Sungkyunkwan University,Suwon-si 440-746, Korea
Department of Computer Engineering, Konkuk University, 268 Chungwondaero, Chungju, Chungcheongbukdo 380-701, Korea
Author to whom correspondence should be addressed.
Received: 13 May 2014 / Revised: 24 June 2014 / Accepted: 2 July 2014 / Published: 18 July 2014
(This article belongs to the Section Sensor Networks)
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With the advances of wireless sensor networks, they yield massive volumes of disparate, dynamic and geographically-distributed and heterogeneous data. The data mining community has attempted to extract knowledge from the huge amount of data that they generate. However, previous mining work in WSNs has focused on supporting simple relational data structures, like one table per network, while there is a need for more complex data structures. This deficiency motivates XML, which is the current de facto format for the data exchange and modeling of a wide variety of data sources over the web, to be used in WSNs in order to encourage the interchangeability of heterogeneous types of sensors and systems. However, mining XML data for WSNs has two challenging issues: one is the endless data flow; and the other is the complex tree structure. In this paper, we present several new definitions and techniques related to association rule mining over XML data streams in WSNs. To the best of our knowledge, this work provides the first approach to mining XML stream data that generates frequent tree items without any redundancy. View Full-Text
Keywords: data mining; wireless sensor network; XML stream data; association rule data mining; wireless sensor network; XML stream data; association rule

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Paik, J.; Nam, J.; Kim, U.M.; Won, D. Association Rule Extraction from XML Stream Data for Wireless Sensor Networks. Sensors 2014, 14, 12937-12957.

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