Parallel Computing to Predict Breast Cancer Recurrence on SEER Dataset using Map-Reduce Approach

  • Umesh D. R
  • Published 2016

Abstract

Due to the late overpowering development rate of large scale data, the advancement of handling faster processing algorithms with optimal execution has turned into a critical need of the time. In this paper, parallel Map-Reduce algorithm is proposed, that encourages concurrent participation of various computing hubs to develop a classifier on SEER breast… (More)

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Cite this paper

@inproceedings{R2016ParallelCT, title={Parallel Computing to Predict Breast Cancer Recurrence on SEER Dataset using Map-Reduce Approach}, author={Umesh D. R}, year={2016} }