An Entropy Decision Model for Selection of Enterprise Resource Planning System
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © March to April Issue 2011 by IJCTT Journal | ||
| Volume-1 Issue-1 | ||
| Year of Publication : 2011 | ||
| Authors : Ming-Chang Lee, Jui-Fang Chang, Jung-Fang Chen. |
Ming-Chang Lee, Jui-Fang Chang, Jung-Fang Chen. "An Entropy Decision Model for Selection of Enterprise Resource Planning System"International Journal of Computer Trends and Technology (IJCTT),V1(1):111-115 March to April Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract—In this paper, we propose a multi - agent based mobile health monitoring system which is the combination of a wireless medical sensor module with data mining techniques. Mobile Health Care is the application of mobile computing technologies for improvi ng communication among patients, physicians, and other health care workers. Here we separate Association rule exploration into two data groups: 1) Real time sensory data collected from patient’s body 2) Historical data collected in past. This system collec ts the diagnosis patterns, classifies them into normal and emergency terms and declares emergency by comparing the two data groups as mentioned earlier. Thus suggests methods to analyze and model patterns of patient’s normal and emergency status.
References-
[1] Dokovsky, N., van Halteren, A., Widya, I.: BANip: enabling remote healthcare monitoring with Body Area Networks. In: International Workshop on scientific engineering of Distributed Java applications, pp. 27 – 28 (2003)
[2] Li, H., Lee, S., Shan, M.: Online Mining (Recently) Maximal Frequent Itemsets over Data Streams. In: Proc. ORIDE - SDMA 2005, pp. 11 – 18 (April 2005)
[3] Aware Home Homepage - Aware Home Research Institute at Georgia Tech. http://awarehome.imtc.gatech.edu/ .
[4] Data Mining Concepts and Techniques by Jiawei Han and Micheline Kamber
[5] Centre for Pervasive Healthcare. http://www.pervasivehealthcare.dk/.
[6] Java Cryptography Extensio n. http://java.sun.com/j2se/1.4.2/docs/guide/security/jce/JCERefGuide.ht ml .
[7] A. Milenkovic, C. Otto, and E. Jovanov. Wireless sensor networks for personal healt h monitoring: Issues and an implementation Computer Communications (Special issue: Wireless Sensor N etworks: Performance, Reliability, Security, and Beyond), Elsevier, 29(13 - 14):2521 - 2533, Oct 2006.
[8] S. K. S. Gupta, S. Lalwani, Y. Prakash, E. Elsharaw y, and L. Schwiebert. Towards a propagation model for wireless biomedical applications. IEEE International Conference on Communications (ICC), 3:1993 - 1997, May 2003.
[9] D. M. Fraser. Biosensors: Making sense of them. Medical Device Technology, 5(8):38 - 41, Feb 1994.
[10] S. K. S. Gupta, S. Lalwani, Y. Prakash, E. Elsharawy, and L. Schwiebert. Towards a propagation model for wireless biomedical applications. IEEE International Conference on Communications (ICC), 3:1993 - 1997, May 2003
Keywords—Wireless Sensor Networks, Multi - Agent System, Ubiquitous Computing, Data Mining, Health Care System