TY  - JOUR
TT  - Association Rules in Data Mining and an Application in Second Hand Car Market
AU  - Özçalıcı, Mehmet
PY  - 2017
DA  - March
JF  - Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi
JO  - ODÜSOBİAD
PB  - Ordu Üniversitesi
WT  - DergiPark
SN  - 1309-9302
SP  - 45
EP  - 58
VL  - 7
IS  - 1
KW  - Veri madenciliği
KW  - apriori algoritması
KW  - ikinci el oto
KW  - birliktelik kuralları
KW  - ağ grafiği
KW  - web kazıma
N2  - Number of road motor vehicles that are handed over are increasing over the years. That makes the detailed examinationof second hand car market is a necessity. It is possible to extract useful information about the operating mechanism ofsecond hand car market using new analysis techniques and massive datasets. The purpose of this study is to examinethe database which includes data belong to second hand cars by association rules. Association rules are successful atdetermining which two objects are observed simultaneously in a dataset. For this study, a dataset includes to 21109second hand cars with 73 variables is scraped from a website in July 2016 and August 2016. In order to apply the apriorialgorithm, the dataset must be consisted from Boolean variables. Numerical variables are converted to Boolean type byusing their distribution. The association rules that are created with apriori algorithm is visualized with a network graph. Atthe end of the study rules such as “diesel cars have less fuel consumption, cannot go much faster, have higher torquevalues; new and expensive cars have higher taxes” are created. The overall results have useful information for thosewho operate in second hand car market.
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UR  - http://dergipark.org.tr/tr/pub/odusobiad/issue//301580
L1  - http://dergipark.org.tr/tr/download/article-file/288064
ER  -