Model for football player's market values by using artificial neural network / Qoszira Dullah

This project is about building football player’s market value models by using data mining technique ANN with artificial intelligence approach. Nowadays, football player’s market value has become an issue among football agents and player themselves since the gap of the market values is getting higher...

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Main Author:	Dullah, Qoszira
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Neural networks (Computer science) Data mining
Online Access:	https://ir.uitm.edu.my/id/eprint/31591/1/31591.pdf
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id	my-uitm-ir.31591
record_format	uketd_dc
spelling	my-uitm-ir.315912020-06-26T04:15:10Z Model for football player's market values by using artificial neural network / Qoszira Dullah 2020 Dullah, Qoszira Neural networks (Computer science) Artificial immune systems. Immunocomputers Data mining This project is about building football player’s market value models by using data mining technique ANN with artificial intelligence approach. Nowadays, football player’s market value has become an issue among football agents and player themselves since the gap of the market values is getting higher from popular players to the players who plays in minor football leagues. The data is collected from several internet sources, which are WhoScored.com and transfermrkt.com. The data is then cleaned and prepared by using Jupyter Notebook. The technique that was used to analyze the data is by using the big data approach to measure the correlation of attributes with the target variable i.e. market value. The model will be able to predict the market value for football players by taking user data input. The model performance then measured by using Coefficient of Determination, r2 for each model. The dataset is then visualized by using Bokeh for Python that embedded in the web-based system. The objectives of this project id fully fulfilled. However, the models could be improved by providing a better dataset so that the models can learn better. By doing this research, it will help people who associated with football transfer such as manager, football agents, and the player themselves to determine the market values for football players playing in the Forward, Midfielder, or Defender position. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31591/ https://ir.uitm.edu.my/id/eprint/31591/1/31591.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Sciences Mior Dahalan, Nurazian
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mior Dahalan, Nurazian
topic	Neural networks (Computer science) Neural networks (Computer science) Data mining
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Data mining Dullah, Qoszira Model for football player's market values by using artificial neural network / Qoszira Dullah
description	This project is about building football player’s market value models by using data mining technique ANN with artificial intelligence approach. Nowadays, football player’s market value has become an issue among football agents and player themselves since the gap of the market values is getting higher from popular players to the players who plays in minor football leagues. The data is collected from several internet sources, which are WhoScored.com and transfermrkt.com. The data is then cleaned and prepared by using Jupyter Notebook. The technique that was used to analyze the data is by using the big data approach to measure the correlation of attributes with the target variable i.e. market value. The model will be able to predict the market value for football players by taking user data input. The model performance then measured by using Coefficient of Determination, r2 for each model. The dataset is then visualized by using Bokeh for Python that embedded in the web-based system. The objectives of this project id fully fulfilled. However, the models could be improved by providing a better dataset so that the models can learn better. By doing this research, it will help people who associated with football transfer such as manager, football agents, and the player themselves to determine the market values for football players playing in the Forward, Midfielder, or Defender position.
format	Thesis
qualification_level	Bachelor degree
author	Dullah, Qoszira
author_facet	Dullah, Qoszira
author_sort	Dullah, Qoszira
title	Model for football player's market values by using artificial neural network / Qoszira Dullah
title_short	Model for football player's market values by using artificial neural network / Qoszira Dullah
title_full	Model for football player's market values by using artificial neural network / Qoszira Dullah
title_fullStr	Model for football player's market values by using artificial neural network / Qoszira Dullah
title_full_unstemmed	Model for football player's market values by using artificial neural network / Qoszira Dullah
title_sort	model for football player's market values by using artificial neural network / qoszira dullah
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/31591/1/31591.pdf
_version_	1783734132857110528

Model for football player's market values by using artificial neural network / Qoszira Dullah

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