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SETSCI - Volume 4 (6) (2019)
ISAS WINTER-2019 (ENS) - 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences, Samsun, Turkey, Nov 22, 2019

Evaluation of Demand for Furniture Products by Web Mining
Selahattin Bardak1*, Timuçin Bardak2
1Sinop University, Sinop, Turkey
2Bartın University, Sinop, Turkey
* Corresponding author: sbardak@sinop.edu.tr
Published Date: 2019-12-22   |   Page (s): 55-57   |    238     5
https://doi.org/10.36287/setsci.4.6.021

ABSTRACT Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible to reach data about the furniture product from the internet, it is very difficult to draw meaningful results from most of data. Web mining is a sub-branch of data mining and helps to draw meaningful results from web pages. With this information, companies can obtain important information that will provide superiority over their competitors. In this study, the best selling products from various web pages selling furniture were evaluated using web mining method. Rapidminer software was used for this purpose. With the web mining, the most used words or words in furniture products are determined from the web pages in the bestseller menu. As a result, it was found that the most commonly used word was the sofa. When we look at this result, it can be said that the most demand of furniture products is sofa. It is thought that the information obtained from the data obtained from this study will provide important information for future researchers.
KEYWORDS Furniture, product, bestseller, demand, web mining
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