Journal
BIG DATA, CLOUD AND COMPUTING CHALLENGES
Volume 50, Issue -, Pages 551-553Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2015.04.102
Keywords
Naive Bayes; Hadoop; Feature Selection
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Cancer is a crucial disease which kills the people worldwide. To reduce cancer death rate is to detect it earlier. It depends upon the age, blood group, food habits, genetic combination, and heredity. Even though predicting cancer is generally clinical and biological in nature, in general we used some of the computation methods and artificial intelligence to predict breast cancer through images and rough set values. In this paper we are using revised edition of classifier (i.e) Mahout Naive Bayes and the performance and accuracy can be calculated (C) 2015 Published by Elsevier B.V.
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