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Abstract
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Article Information:
Mining Association Rules in Big Data for E-healthcare Information System
N. Rajkumar, R. Vimal Karthick, M. Nathiya and K. Silambarasan
Corresponding Author: N. Rajkumar
Submitted: May 09, 2014
Accepted: August 03, 2014
Published: August 25, 2014 |
Abstract:
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Big data related to large volume, multiple ways of growing data sets and autonomous sources. Now the big data is quickly enlarged in many advanced domains, because of rapid growth in networking and data collection. The study is defining the E-Healthcare Information System, 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 E-Healthcare Information System devices. The main objective is, A E-Healthcare Information System which is extensive, integrated knowledge system designed to control all the views of a hospital operation, such as medical data’s, administrative, financial, legal information’s and the corresponding service processing. At last the analysis of result will be generated using Association Mining Techniques which processed from big data of hospital information datasets. Finally mining techniques result could be evaluated in terms of accuracy, precision, recall and positive rate.
Key words: Association rule mining, autonomous sources, e-healthcare information system, information sharing, medical diagnosis, medical knowledge,
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Cite this Reference:
N. Rajkumar, R. Vimal Karthick, M. Nathiya and K. Silambarasan, . Mining Association Rules in Big Data for E-healthcare Information System. Research Journal of Applied Sciences, Engineering and Technology, (8): 1002-1008.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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