The Development of Temporal Mining Technique Considering the Event Change of State in U-Health


The KIPS Transactions:PartD, Vol. 18, No. 4, pp. 215-224, Aug. 2011
10.3745/KIPSTD.2011.18.4.215,   PDF Download:

Abstract

U-Health collects patient information with various kinds of sensor. Stream data can be summarized as an interval event which has an interval between start-time-point and end-time-point. Most of temporal mining techniques consider only the event occurrence-time-point and ignore stream data change of state. In this paper, we propose the temporal mining technique considering the event change of state in U-Health. Our method overcomes the restrictions of the environment by sending a significant event in U-Health from sensors to a server. We define four event states of stream data and perform the temporal data mining considered the event change of state. Finally, we can remove an ambiguity of discovered rules by describing cause-and-effect relations among events in temporal relation sequences.


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Cite this article
[IEEE Style]
J. I. Kim, D. I. Kim, B. H. Hwang, "The Development of Temporal Mining Technique Considering the Event Change of State in U-Health," The KIPS Transactions:PartD, vol. 18, no. 4, pp. 215-224, 2011. DOI: 10.3745/KIPSTD.2011.18.4.215.

[ACM Style]
Jae In Kim, Dae In Kim, and Bu Hyun Hwang. 2011. The Development of Temporal Mining Technique Considering the Event Change of State in U-Health. The KIPS Transactions:PartD, 18, 4, (2011), 215-224. DOI: 10.3745/KIPSTD.2011.18.4.215.