Document Details

Document Type : Thesis 
Document Title :
PRICE PREMIUMS PREDICTION USING CLASSIFICATION AND REGRESSION TREES (CART) ALGORITHM IN EBAY AUCTIONS
التنبؤ بالعلاوة السعرية باستخدام خوارزمية أشجار التصنيف والانحدار في مزادات eBay
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : The use of data mining techniques in the field of auctions has attracted considerable interest from the research community. In auctions, the users try to achieve the highest gain and avoid loss as much as possible. Therefore, data mining techniques can be implemented in the auctioning domain to develop an intelligent method that can be used by the users in online auctions. However, determining the factors that affect the result of an auction, especially the initial price, is critical. In addition, the intelligent system must be established based on clean data to ensure the accuracy of the results. In this work, we propose an intelligent system (classifier) to predict the initial price of auctions. The proposed system uses the double smoothing method (DSM) for data cleaning in terms of preprocessing. This system is implemented on a data set collected from the eBay website and cleaned using the proposed DSM. In the training phase, the CART technique is employed for the classifier construction. Compared to similar techniques, the proposed system exhibits a better performance in terms of the accuracy and robustness against noisy data, as determined using ROC curves. 
Supervisor : Dr. Mahmoud Kamel 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2020 AD 
Added Date : Tuesday, June 30, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
مفرح حمير القحطانيALQahtani, Mofareah HumeerResearcherMaster 

Files

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 46561.pdf pdf 

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