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Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm

C.Lalitha 1 , S. Arulselvarani2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-05 , Page no. 156-160, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si5.156160

Online published on Mar 10, 2019

Copyright © C.Lalitha, S. Arulselvarani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: C.Lalitha, S. Arulselvarani, “Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.05, pp.156-160, 2019.

MLA Style Citation: C.Lalitha, S. Arulselvarani "Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm." International Journal of Computer Sciences and Engineering 07.05 (2019): 156-160.

APA Style Citation: C.Lalitha, S. Arulselvarani, (2019). Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm. International Journal of Computer Sciences and Engineering, 07(05), 156-160.

BibTex Style Citation:
@article{Arulselvarani_2019,
author = {C.Lalitha, S. Arulselvarani},
title = {Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {07},
Issue = {05},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {156-160},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=824},
doi = {https://doi.org/10.26438/ijcse/v7i5.156160}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.156160}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=824
TI - Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - C.Lalitha, S. Arulselvarani
PY - 2019
DA - 2019/03/10
PB - IJCSE, Indore, INDIA
SP - 156-160
IS - 05
VL - 07
SN - 2347-2693
ER -

           

Abstract

This paper investigates the result of athletic games of Olympic history for the past 100 years. As a case study, we evaluate ZeroR classification machine algorithms on game datasets. Here we compare the dataset in ranking algorithms in order to determine the results like leading city and the winner of the game. In this paper, we used machine learning data mining tool WEKA for different analysis. We have provided an evaluation based on applying these classification methods on our datasets and measuring the accuracy of test results.

Key-Words / Index Term

Classification, data mining tool, machine learning, Ranking, WEKA, ZeroR

References

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