ISSN2320-2882
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Paper Title

PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R

Authors

Chetana Tukkoji , Dr. Seetharam K

Keywords

Parallel processing, Genetic operators, Dataset.

Abstract

A genetic algorithm (GA) gives optimal solution for the problems, which creates a group of populations and identifies possible solutions to the given problem. The individuals in this population will carry solutions that are the values of variables of the problem. The process of genetic algorithm involves the selection, crossover and mutations are called genetic operators. This paper uses RStudio platform for analyzing super sale market store dataset using genetic algorithm and also compares the different algorithm such as LDA, CART, KNN, SVN and RF parallel, to estimate accurate analysis results of dataset.

How To Cite

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IJCRT — journal style
"PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 2, page no.171-176, April 2018, Available :https://ijcrt.org/papers/IJCRT1807010.pdf
APA — 7th edition
Tukkoji, C., & K, S. (2018). PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R. International Journal of Creative Research Thoughts, 6(2), 171-176. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010
MLA — 9th edition
Tukkoji, Chetana, and Seetharam K. "PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R." International Journal of Creative Research Thoughts, vol. 6, no. 2, 2018, pp. 171-176, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010.
Chicago — 17th, bibliography
Tukkoji, Chetana, and Seetharam K. "PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R." International Journal of Creative Research Thoughts 6, no. 2 (2018): 171-176. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010.
Harvard — author–date
Tukkoji, C. and K, S. (2018) 'PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R', International Journal of Creative Research Thoughts, 6(2), pp. 171-176. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010
IEEE — numbered reference
C. Tukkoji and S. K, "PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R," IJCRT, vol. 6, no. 2, pp. 171-176, Apr. 2018.
Vancouver — biomedical
Tukkoji C, K S. PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R. IJCRT. 2018 Apr;6(2):171-176.
AMA — 11th edition
Tukkoji C, K S. PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R. IJCRT. 2018;6(2):171-176. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1807010, author = {Chetana Tukkoji and Seetharam K}, title = {PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R}, journal = {International Journal of Creative Research Thoughts}, volume = {6}, number = {2}, pages = {171-176}, year = {2018}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010} }
RIS — EndNote, RefWorks
TY - JOUR AU - Tukkoji, Chetana AU - K, Seetharam TI - PPD-GAR: PARALLEL PROCESSING OF DATA WITH GENETIC ALGORITHM USING R T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 6 IS - 2 PY - 2018 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1807010 SP - 171 EP - 176 ER -

Issue

Volume 6 Issue 2, April-2018
Pages : 171-176

Article Information

Pages
171-176
Published
April 2018
Registration ID
IJCRT_185083
Published Paper ID
IJCRT1807010
Research Area
Science & Technology
Author Type
Indian Author
Location
Banagaluru, Karnataka, 561203
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
1,489

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2018 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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