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  Published Paper Details:

  Paper Title

COMPARATIVE STUDY ON DATA MINING CLASSIFICATION TECHNIQUES FOR BREAST CANCER PREDICTION

  Authors

  J.Merlyn,  P.Thangaraju

  Keywords

  Abstract


In medical field we have very large database with different kinds of data stored in it. It is very difficult for us to manage, analyze and handle those data manually. Data Mining is helpful for analyzing, extracting and summarizing useful information from these large dataset. Cancer is the deadly disease that results due to the uncontrolled growth of abnormal cells. There are over 200 types of cancer. This paper deals with various Data mining techniques that can be applied for predicting breast cancer. Various algorithms are available in data mining that help us in developing new concept that can boost us to find models for prediction breast disease accurately. In this paper, an analysis of various data mining classification techniques which is used for predicting breast cancer and analysis of the prediction of survival rate of breast cancer is done.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1892997

  Paper ID - 190319

  Page Number(s) - 985-989

  Pubished in - Volume 6 | Issue 2 | APRIL 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  J.Merlyn,  P.Thangaraju,   "COMPARATIVE STUDY ON DATA MINING CLASSIFICATION TECHNIQUES FOR BREAST CANCER PREDICTION ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.985-989, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892997.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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