An Overview towards the Techniques of Data Mining

Vol-4 | Issue-02 | February 2019 | Published Online: 10 February 2019    PDF ( 328 KB )
Author(s)
Sugandhi Maheshwaram 1; S. Shoban Babu 2

1Senior full stack developer, National Association of Insurance Commissioners (NAIC), Kansas City, Kansas, USA (India)

2Project Manager, Kenexcel Software Private Limited, Warangal (India)

Abstract

Data mining is the nontrivial extraction of verifiable, already obscure, and possibly helpful data from data. Data mining is the procedure to discover beforehand obscure relationship and new examples in huge data which even can anticipate for future choices by the utilization of some supportive algorithms and techniques like bunching, arrangement, affiliation, relapse and so on. Cloud computing is essentially conveying programming, stage and framework as an administration over the web and client can get to these from a remote territory. Fast advancement of web and increment in business enables the organizations to safe protect, store, recover and examination of their data through cloud administrations with data mining. Data mining in cloud computing is the way toward finding organized data from web data sources which may be unstructured or semi-organized. Data Mining techniques and Cloud Computing encourages the business associations to accomplish augmented benefit and cut expenses in various conceivable ways. The principle point of the work is to execute data mining strategy in cloud computing utilizing Google App Engine and Cloud SQL.

Keywords
Google App Engine, Data Mining, Cloud SQL, cloud computing
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