Year 2020, Volume 11 , Issue 1, Pages 49 - 61 2020-06-01

Yapay sinir ağı yöntemi ile internet üzerinden satılan ikinciel araçların fiyat tahmini
Price estimation of secondhand cars sold on the internet with artificial neural network method

Sait Ugur GÜLTEKİN [1] , Arzu ORGAN [2]


Veri madenciliği, e-ticaret firmaları için önemli bir çalışma alanıdır. Çok büyük miktardaki mevcut verinin katlanarak artmasıyla veri madenciliği yöntemlerinin kullanılması kaçınılmaz hale gelmiştir. Çünkü bir mal veya hizmetin maliyeti, ürünü satma potansiyeli, ürünün potansiyel fiyatı vb. yeterli değişkenle birlikte bu yöntemlerle tahmin edilebilir. Hangi yöntemi kullanırsak kullanalım maliyet ve zaman açısından verimli olmalıdır. Bu nedenle, herhangi bir gecikme olmaksızın doğru ve hızlı tahminler yapmak için veri madenciliği yöntemlerini kullanmalıyız. Bu çalışmada, ikinci el otomobil pazarındaki araçların fiyatlarını yapay sinir ağı yöntemi ile tahmin etmeye çalıştık. Bu sorunu çözmek için altı aşamalı bir süreç kullandık. Veri madenciliği aşamaları kullanılarak problem tanımı yapılmış, ilk aşamada veri hazırlamada veri temizliği yapılmış, ikinci aşamada keşif için veri düzenlenmiş, üçüncü aşamada modelleme yapılmış, dördüncü aşamada oluşturulan model değerlendirilmiş ve beşinci aşamada veriler, model ile kullanılacak algoritmaların çalışma prensiplerine göre uyarlanmıştır. Daha sonra son aşamada yapay sinir ağı yöntemi olan çok katmanlı algılayıcılarla değerlendirilme yapılmıştır. Yapay sinir ağları yönteminden elde edilen sonuçlar ile var olan gerçek veriler karşılaştırıldı.

Data mining is an important field of study for e-commerce firms. With the overwhelming amount of available data, that increases exponentially it is inevitable to use data mining methods. Because cost of a good or a service, potential of selling the product, potential price of the product etc. can be estimated by these methods with enough variables. No matter which method we use it must be cost and time efficient. For this reason, we must use data mining methods to make accurate and immediate estimations without any delays. In this work we tried to estimate prices of the vehicles in the secondhand car market with artificial neural network method. For this we used six step process to solve this problem. Problem definition was made by using data mining stages, in the first stage data cleaning was done in data preparation, in second stage we arranged data for the exploration, in third stage modelling was done, in fourth stage created model was evaluated, and in the fifth step data was adapted by model deployment to the working principles of the algorithms that would be used. Then, in the final stage it was evaluated by the methods of multilayer perceptron aka artificial neural network method. Results from artificial neural networks method compared with the actual data and the results analyzed.
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Primary Language en
Subjects Management
Journal Section Research Article
Authors

Author: Sait Ugur GÜLTEKİN
Institution: Munzur Üni
Country: Turkey


Author: Arzu ORGAN (Primary Author)
Institution: Pamukkale Üni.
Country: Turkey


Dates

Publication Date : June 1, 2020

APA Gülteki̇n, S , Organ, A . (2020). Price estimation of secondhand cars sold on the internet with artificial neural network method. Journal of Internet Applications and Management , 11 (1) , 49-61 . DOI: 10.34231/iuyd.698095