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Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : 8
First page : ( 482) Last page : ( 488)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00627.4

Review on Association Rule Mining Techniques with Machine Learning Approach for Cancer Treatment

Kiruthiga T.*, Dr. Kumar M. Vijaya**

*PG Scholar, Department of Computer Science and Engineering, Nandha College of Technology, Erode, Tamilnadu, India

**Professor, Department of Computer Science and Engineering, Nandha College of Technology, Erode, Tamilnadu, India

Online published on 2 August, 2016.

Abstract

Clinical management system recently used association rule mining techniques with machine learning approach for discovering the cancer patient. An association rule mining techniques is the best approach for finding better results in the searching data. An association rule mining techniques with stemming algorithm is used to extract relations are mined by the clustering mechanism for better web application result. The clinical management system includes web based application for searching cancer patients using machine learning approach. There is different machine learning techniques are used to finding better result from the query processing. The classification and clustering mechanism are used to give effective details will be yield to the risk factors of the cancer patient.

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Keywords

Data Mining, Association Rule, Stemming algorithms, Machine learning approach Classification and Clustering.

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