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Player popularity as a substitute for player ability in Premier league football using machine learning

Fahad Hilal1 , Mohamad Saalim Wani2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 647-649, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.647649

Online published on Mar 31, 2019

Copyright © Fahad Hilal, Mohamad Saalim Wani . 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: Fahad Hilal, Mohamad Saalim Wani, “Player popularity as a substitute for player ability in Premier league football using machine learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.647-649, 2019.

MLA Style Citation: Fahad Hilal, Mohamad Saalim Wani "Player popularity as a substitute for player ability in Premier league football using machine learning." International Journal of Computer Sciences and Engineering 7.3 (2019): 647-649.

APA Style Citation: Fahad Hilal, Mohamad Saalim Wani, (2019). Player popularity as a substitute for player ability in Premier league football using machine learning. International Journal of Computer Sciences and Engineering, 7(3), 647-649.

BibTex Style Citation:
@article{Hilal_2019,
author = {Fahad Hilal, Mohamad Saalim Wani},
title = {Player popularity as a substitute for player ability in Premier league football using machine learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {647-649},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3896},
doi = {https://doi.org/10.26438/ijcse/v7i3.647649}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.647649}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3896
TI - Player popularity as a substitute for player ability in Premier league football using machine learning
T2 - International Journal of Computer Sciences and Engineering
AU - Fahad Hilal, Mohamad Saalim Wani
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 647-649
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

The effectiveness of player popularity as a proxy for ability, and the predictive power it would have in a model estimating a player`s market value is examined.

Key-Words / Index Term

Multiple Linear Regression, k-means

References

[1]H. W. Altland, “Regression analysis: statistical modeling of a response variable,” Technometrics, vol. 41, no. 4, pp. 367–368, 1999.
[2]Jigui Sun, Jie Liu, Lianyu Zhao, "Clustering algorithms Research", Journal of Software, vol. 19, no. 1, pp. 48-61, January 2008.