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Volume & Issue no: Volume 6, Issue 5, September - October 2017

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Title:
A SURVEY ON CANCER CLASSIFICATION USING DATA MINING TECHNIQUES
Author Name:
A.Daisy, R.Porkodi
Abstract:
Abstract: Classification of data has been effectively utilized in the several areas such as scientific experiments, medical industry, credit approval, weather prediction, customer segmentation, target, marketing, fraud detection and diagnosis and prediction of different disease in biomedical domain. The accurate prediction of the various cancer types helps to providing the better treatment and minimization of the toxicity on the patients. Many data mining techniques have been proposed to predicting the cancer. This paper presents the various data mining techniques used for classification of cancer disease and its merits and demerits etc.The main objective of this analysis is to study the various data mining techniques used in classifying the cancer disease and to improve the accuracy of predicting the cancer in early stage and reduces the death rate. Keywords: Data Mining, Classification, Cancer Classification, Prediction
Cite this article:
A.Daisy, R.Porkodi , " A SURVEY ON CANCER CLASSIFICATION USING DATA MINING TECHNIQUES" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 5, September - October 2017 , pp. 184-189 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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