Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2011.18D.4.215

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

Kim, Jae-In (전남대학교 전자컴퓨터공학과)
Kim, Dae-In (전남대학교 전자컴퓨터공학부)
Hwang, Bu-Hyun (전남대학교 전자컴퓨터공학부)
Publication Information
The KIPS Transactions:PartD / v.18D, no.4, 2011 , pp. 215-224 More about this Journal
Abstract
U-Health collects patient information with various kinds of sensor. Stream data can be summarized as an interval event which has aninterval 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.
Keywords
U-Health; Temporal Mining; Event State; Cause-and-effect Relation; Temporal Relation Sequence;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Z. Wong, L. Xiaowei, and C. Chuntian, "Parallel Computing Model fo Multiple Dimensions Data Stream Canonical Correlation Analysis with GPU," Proc. of 2010 2nd International Conference on Information Engineering and Computer Science(ICIECS), pp.1-4, Dec., 2010.   DOI
2 H. Zhu, Y. Wang, and Z. Yu, "Clustering of Evolving Data Stream with Multiple Adaptive Sliding Window," Proc. of 2010 International Conference on Data Storage and Data Engineering(DSDE), pp.95-100, Feb., 2010.
3 J. Kim, C. Na, D. Han, D. Kim, and B. Hwang, "Design of U-Health System based on Embedding Event Filtering," Journal of The Korea Contents, Vol.9, No.2, pp.88-96, 2009.   DOI   ScienceOn
4 J. J. Oresko, Z. Jin, J. Cheng, S. Huang, Y. Sun, H. Duschl, and A. C. Cheng, "A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing," IEEE Transactions on Information Technology in Biomedicine, Vol.14, No.3, pp.734-740, May, 2010.   DOI   ScienceOn
5 http://www.physionet.org/physiobank
6 H. Han, H. C. Ryoo, and H. Patrick, "An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients," Proc. of 19th IEEE International Symposium on Computer-Based Medical Systems(CBMS06), pp.461-468, 2006.   DOI
7 Y. Lee, J. Lee, D. Chai, B. Hwang, and K. Ryu, "Mining Temporal Interval Relation Rules from Temporal Data," Journal of Systems and Software, Vol.82, pp.155-167, 2009.   DOI   ScienceOn
8 J. J. Oresko, Z. Jin, J. Cheng, S. Huang, Y. Sun, H. Duschl, and A. C. Cheng, "A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing," IEEE Transactions on Information Technology in Biomedicine, Vol.14, No.3, May, 2010.   DOI   ScienceOn
9 D. Kim, J. Park, and B. Hwang, "Mining Association Rule for the Abnormal Event in Data Stream Systems," Journal of Korea Information Processing Society, Vol.14-D, No.5, pp.483-490, 2007.   과학기술학회마을   DOI   ScienceOn
10 J. Pei, J. Han, B. M. Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal, and M. Hsu, "Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach," IEEE Transactions on Knowledge and Data Engineering, Vol.16, No.11, pp.1424-1440, Nov., 2004.   DOI   ScienceOn
11 H. Li, and S. Lee, "Mining Frequent Itemsets over Data Streams using Efficient Window Sliding Techniques," Expert Systems with Applications, Vol.36, pp.1466-1477, 2009.   DOI   ScienceOn
12 S. Wu, and Y. Chen, "Mining Nonambiguous Temporal Patterns for Interval-Based Events," IEEE Transactions on Knowledge and Data Engineering, Vol.19, No.6, pp.742-758, Jun., 2007.   DOI   ScienceOn
13 C. Yu, and Y. Chen, "Mining Sequential Patterns from Multidimensional Sequence Data," IEEE Transactions on Knowledge and Data Engineering, Vol.17, No.1, pp.136-140, Jan., 2005.   DOI   ScienceOn