UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1810730


Registration ID:
190572

Page Number

231-233

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Title

Breast Cancer Detection using Data Mining and Machine Learning.

Abstract

Abstract - Breast cancer is seen mostly in women but is not limited to women. Breast cancer is one of the major cause of death among women in India, if cancer can be detected at an early stage it will prove to be advantageous since proper actions and treatment can be done to eliminate it at an early stage. Machine learning and Data mining techniques prove to be very helpful in predicting cancer at an early stage which might be a difficult problem otherwise. Machine learning and Data mining has revolutionized the entire process of how breast cancer can be detected. The main objective of this research is to find out cancer at an early stage by the help of Machine learning and Data mining. The paper also includes a study of currently used systems for a better understanding of the techniques used for detection.

Key Words

Keywords:- Breast Cancer, Data Mining, Machine Learning.

Cite This Article

"Breast Cancer Detection using Data Mining and Machine Learning.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.231-233, October-2018, Available :http://www.jetir.org/papers/JETIR1810730.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Breast Cancer Detection using Data Mining and Machine Learning.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp231-233, October-2018, Available at : http://www.jetir.org/papers/JETIR1810730.pdf

Publication Details

Published Paper ID: JETIR1810730
Registration ID: 190572
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.18648
Page No: 231-233
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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