文章基本信息

标题：Intelligent Data Mining in Autonomous Heterogeneous Distributed Bio Databases
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作者：T.Hemalatha ; B.G.Gowthami ; A.Divya Sri 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3778-3781
出版社：TechScience Publications
摘要：Due to the revolutionary change in data mining and bio-informatics, it is very useful to use data mining techniques to evaluate and analyze bio-medical data. In this paper we purpose a frame work for intelligent data mining system for bio databases especially for diabetic patients depending on their medical test reports. The bio-databases are framed based on the various characteristics involved within the patient suffering with diabetes like: Genetic category, Disease type, country, food habits. System first extracts the relevant, useful, valid and actionable data from bio databases. Bio databases is often autonomous heterogeneous and distributed in nature. The extracted data is preprocessed. After preprocessing, data mining techniques are applied on preprocessed data, local data as well as proprietary data. Then the mined knowledge is integrated with expert system knowledge to assist researchers and scientists in their research work and crucial decision making process.
关键词：Bio-informatics; Intelligent data ; Autonomous;heterogeneous distributed ; Data mining; Expert system;Knowledge base; Diabetes;.s-pow