TY  - CONF
ID  - scholars303
A1  - Permanasari, A.E.
A1  - Rambli, D.R.A.
A1  - Dominic, D.D.
A1  - Ammasai, V.P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349170904&doi=10.1109%2fITSIM.2008.4631607&partnerID=40&md5=a6a43818cf2550051607c7cb8db025c7
N1  - cited By 0; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
CY  - Kuala Lumpur
N2  - The increasing number of zoonosis coupled with the frequency of occurrences has made the need to study zoonosis a major concern among researchers. It is important to have a single system that is able to analyze the relationship between different diseases in emergence zoonosis. However, the development of such system presents a daunting and yet to be explored task. Earlier work has proposed a 3-stage framework to develop a zoonosis emerging system. This paper reports on the selection and constructions process of zoonosis domains and their relationship rules as a preliminary work of this zoonosis emerging system. A set of data collected from 35 zoonotic diseases was used for this purpose. Preliminary analysis of this data collection exposed a domain dataset distribution. Further examination of the domain distribution revealed important information dataset about each individual domain. This information is useful and could be used to predict zoonosis-risk evidence based on domain dataset. © 2008 IEEE.
SN  - 9781424423286
KW  - Data collections; Do-mains; Domain distributions; Preliminary analysis; Relationship rules; Zoonotic diseases
KW  -  Information technology
TI  - Construction of zoonosis domain relationship as a preliminary stage for developing a zoonosis emerging system
Y1  - 2008///
VL  - 1
AV  - none
ER  -