Proceedings of IAM, cilt.11, sa.1, ss.50-61, 2022 (Hakemli Dergi)
In this paper a popular e-commerce web site, named, from Turkey will be mined to get a particular products sales volumes in different price ranges with ascending order. By using this ranges many other features such as rating number, rating point, discount ratio, etc. will be extracted to use in the random forest regression model. Machine learning algorithms will be used to find common patterns by using this historical data and anyone who wants to sell any product can use this approach to optimize the price of his or her desired product. At the end of the study we have the bag of words results of the dataset to use for sales analysis