Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus

E-shopping or also known as Electronic Commerce (E-Commerce) is an online shopping website that have been evolved in these past years. The evolution of online shopping website has been beneficial to both of the sellers and customers mainly in terms of time and cost. Despite of the goods of online sh...

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Bibliographic Details
Main Author:	Firdaus, Fathiah Husna
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Electronic commerce Advertising
Online Access:	https://ir.uitm.edu.my/id/eprint/87224/1/87224.pdf
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id	my-uitm-ir.87224
record_format	uketd_dc
spelling	my-uitm-ir.872242024-02-26T08:03:39Z Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus 2019 Firdaus, Fathiah Husna Electronic commerce Advertising E-shopping or also known as Electronic Commerce (E-Commerce) is an online shopping website that have been evolved in these past years. The evolution of online shopping website has been beneficial to both of the sellers and customers mainly in terms of time and cost. Despite of the goods of online shopping, there is possibility that the advertisement in the website is considered suspicious and a potential scam. Hence, this study is to propose suspicious advertisement detector by using data mining technique which is Principal Component Analysis (PCA). PCA is a dimensionality reduction technique that is robust and ease the visualization task. The result of PCA will be used to identify the outliers from the PCA scatter plot. The further analysis is done by apply statistical box plot method, K-Means Clustering and compare the distance of outliers and its centroid. The outliers from the result are the suspicious advertisements which could be potential scammer or genuine seller that differs in value of price and mileage of a car in the advertisement. 2019 Thesis https://ir.uitm.edu.my/id/eprint/87224/ https://ir.uitm.edu.my/id/eprint/87224/1/87224.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Seman, Ali
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Seman, Ali
topic	Electronic commerce Advertising
spellingShingle	Electronic commerce Advertising Firdaus, Fathiah Husna Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
description	E-shopping or also known as Electronic Commerce (E-Commerce) is an online shopping website that have been evolved in these past years. The evolution of online shopping website has been beneficial to both of the sellers and customers mainly in terms of time and cost. Despite of the goods of online shopping, there is possibility that the advertisement in the website is considered suspicious and a potential scam. Hence, this study is to propose suspicious advertisement detector by using data mining technique which is Principal Component Analysis (PCA). PCA is a dimensionality reduction technique that is robust and ease the visualization task. The result of PCA will be used to identify the outliers from the PCA scatter plot. The further analysis is done by apply statistical box plot method, K-Means Clustering and compare the distance of outliers and its centroid. The outliers from the result are the suspicious advertisements which could be potential scammer or genuine seller that differs in value of price and mileage of a car in the advertisement.
format	Thesis
qualification_level	Bachelor degree
author	Firdaus, Fathiah Husna
author_facet	Firdaus, Fathiah Husna
author_sort	Firdaus, Fathiah Husna
title	Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
title_short	Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
title_full	Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
title_fullStr	Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
title_full_unstemmed	Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
title_sort	suspicious online car advertisement detector using principle component analysis (pca) / fathiah husna firdaus
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/87224/1/87224.pdf
_version_	1794192120936923136

Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus

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