Title :
An effective way of mining knowledge from heterogeneous data sources
Author :
Molli, Venkateswara Rao ; Veeramanickam, M.R.M.
Author_Institution :
Dept. of Inf. Syst. & Network Eng., St. Joseph Coll. of Eng. & Technol., Dar es Salaam, Tanzania
Abstract :
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.
Keywords :
Big Data; data mining; hospitals; medical information systems; Big Data; association rule mining; heterogeneous data sources; hospital management system; logical method; medical devices; medical information; medical knowledge system; structural method; Big data; Data privacy; Information management; Knowledge discovery; Medical diagnostic imaging; Real-time systems; Association rule mining; Medical Knowledge; autonomous sources; information sharing; medical diagnosis;
Conference_Titel :
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN :
978-1-4799-3758-5
DOI :
10.1109/I2CT.2014.7092302