An Effective way of Mining Knowledge from Heterogeneous Data Sources

被引:0
|
作者
Molli, Venkateswara Rao [1 ]
Veeramanickam, M. R. M. [2 ]
机构
[1] St Joseph Coll Engn & Technol, Dept Informat Syst & Network Engn, Dar Es Salaam, Tanzania
[2] Trinity Coll Engn & Res, Dept Informat Technol, Pune, Maharashtra, India
关键词
Association rule mining; Medical Knowledge; medical diagnosis; information sharing; autonomous sources;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Big data related to large volume, multiple ways of growing data sets and autonomous sources. The study is defining the medical information, which needs to make logical and structural method of approaching the knowledge. And also effectually preparing and controlling the data generated during the diagnosis activities of medical application through sharing information among medical devices. These are achieved by applying the association rule mining. Specially, the study needs to prepare medical knowledge system or hospital management system to define the terminologies of medical which is technical that are serviceable by doctors to make clear of understanding of patients.
引用
收藏
页数:4
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