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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 12
First page : ( 1589) Last page : ( 1594)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.02085.5

Design and Development of Advance Data Mining Technique for Extraction of Data

Nagamani P.1, Lakshmi Satya2, Sasikanth K.V.K.3, Sangameshwar M.V.4

1Professor, Department of CSE, Godavari Institute of Engineering & Technology, Rajahmundry, A.P, India

2Assistant Professor, Department of MCA, Godavari Institute of Engineering & Technology, Rajahmundry, A.P, India

3Assistant Professor, Department of CSE, Godavari Institute of Engineering & Technology, Rajahmundry, A.P, India

4Assistant Professor, Department of CSE, Godavari Institute of Engineering & Technology, Rajahmundry, A.P, India

Online published on 2 February, 2019.

Abstract

Those improvement and advancement of IT innovation technology gathers enormous sum of data from Different data bases. In this way we fetch any data fexibly and successfully by adjustment and arrangement of data called loose coupling method in data mining system. Data mining system will be ordered depending upon the sort of data base, knowledge and also systems utilized for application. Earlier data base technique utilized for extraction of data in data mining will be a manual design but that makes the system moderate to utilize in banking, health monitoring system, promoting science data analyst needs to work effortlessly with quick data scrutinizing for fnal role in choice making. Data mining provision which may be non-specifc or area particularly permits reliability of data to make attainable and also additionally fabricate vast and versatile system. Many researches and subject experts utilizes data mining strategies in distinctive felds for security reasons also huge data storage system. Data mining is a quick approaching technique utilizing huge measure of historical data to predict the success in market.

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Keywords

Data mining system, Extraction of data, data prediction, loose coupling technique.

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