期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：3
页码：858-862
语种：English
出版社：Ayushmaan Technologies
摘要：Recent developments in information technology have enabled collection and processing of vast amounts of personal data, business data and spatial data. It has been widely recognized that spatial data analysis capabilities have not kept up with the need for analyzing the increasingly large volumes of geographic data of various themes that are currently being collected and archived. Our study is carried out on the way to provide the mission-goal strategy (requirements) to predict the disaster, an Intelligence System. Data mining or knowledge discovery is becoming more important as more and more corporate data is being computerized. Intelligent application algorithms ideal for finding the rules and unknown information from the vast quantities of computer data. The Intelligence system is to obtain and process the data, to interpret the data, and to design the algorithms for decision makers (Health Companion) as a basis for action. The distribution technique with in Self Adaptive Disaster Management System establishes the foreground for architectural implementation in heterogeneous environment for computational, contextual cooperative design sets. Network architecture for disaster identification is designed. The Intelligence in each of these algorithms are provided the point and multi-point decision making system to capacitive for evaluation of spreading the cholera and dengue. Our contribution in this paper is to design self adaptive disaster Algorithms to identify spreading of the cholera and Dengue.
关键词：Cholera;Dengue Fever;Artificial Intelligence;Spatial Data Mining;Algorithms
