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Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach

by Umesh D. R., B. Ramachandra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 7
Year of Publication: 2016
Authors: Umesh D. R., B. Ramachandra
10.5120/ijca2016911549

Umesh D. R., B. Ramachandra . Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach. International Journal of Computer Applications. 150, 7 ( Sep 2016), 7-11. DOI=10.5120/ijca2016911549

@article{ 10.5120/ijca2016911549,
author = { Umesh D. R., B. Ramachandra },
title = { Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 7 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number7/26103-2016911549/ },
doi = { 10.5120/ijca2016911549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:16.869972+05:30
%A Umesh D. R.
%A B. Ramachandra
%T Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 7
%P 7-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The traditional data analytic might not have the capacity to handle enormous amount of data. Due to the rapid growth of information, solutions need to be contemplated and provided in order to handle and extract value and knowledge from these data sets. Moreover, decision makers should have the capacity to increase significant bits of knowledge from such fluctuated and quickly evolving information. Such esteem can be given utilizing big data analytic, which is the utilization of advanced analytic techniques on big data using MapReduce approach. This paper examines to develop a high performance platform to efficiently analyse big SEER (Surveillance, Epidemiology, and End Results) breast cancer data set using MapReduce to find the recurrence of breast cancer.

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  27. BIOGRAPHY
  28. Umesh D R completed his Engineering from PES College of Engineering Mandya, Masters from NIE Mysore, presently pursuing Ph.D. from University of Mysore, Mysore. Working in PES College of Engineering Mandya from 2005.
  29. Dr.B.Ramachandra working as Professor and Head in Department of Electrical & Electronics, PES College of Engineering Mandya. He had his Ph.D. From Indian Institute of Science, Bangalore, Master’s from Indian Institute of Technology, Bombay.
Index Terms

Computer Science
Information Sciences

Keywords

Breast cancer Big data Classification Data analytics MapReduce SEER.

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