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Reseach Article

Price Premiums Prediction using Classification and Regression Trees (CART) Algorithm in eBay Auctions

by Mofareah Bin Mohamed, Mahmoud Kamel
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 24
Year of Publication: 2019
Authors: Mofareah Bin Mohamed, Mahmoud Kamel
10.5120/ijais2019451823

Mofareah Bin Mohamed, Mahmoud Kamel . Price Premiums Prediction using Classification and Regression Trees (CART) Algorithm in eBay Auctions. International Journal of Applied Information Systems. 12, 24 ( October 2019), 17-22. DOI=10.5120/ijais2019451823

@article{ 10.5120/ijais2019451823,
author = { Mofareah Bin Mohamed, Mahmoud Kamel },
title = { Price Premiums Prediction using Classification and Regression Trees (CART) Algorithm in eBay Auctions },
journal = { International Journal of Applied Information Systems },
issue_date = { October 2019 },
volume = { 12 },
number = { 24 },
month = { October },
year = { 2019 },
issn = { 2249-0868 },
pages = { 17-22 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number24/1067-2019451823/ },
doi = { 10.5120/ijais2019451823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:10:01.342299+05:30
%A Mofareah Bin Mohamed
%A Mahmoud Kamel
%T Price Premiums Prediction using Classification and Regression Trees (CART) Algorithm in eBay Auctions
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 24
%P 17-22
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Price premiums in internet auction are the percentage that the sale price exceeds or decreases the average price of this product, so, if the sale price exceeds the average price then the internet auction is price premiums otherwise it is non-price premiums. The objective of the study is to analyze eBay auctions data using Classification and Regression Trees (CART), which is a type of decision trees induction. The information about previous auctions of a specific product was collected from the eBay site to the extent of its users and comprehensive, and the formulation of the previous information in the form of variables can be statistical operations on the processing of decision trees algorithms. This study identifies the critical variables and ranks them according to their importance using the decision-making tree algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

CART Price premiums eBay K-fold-cross