Turanlı, MünevverTeksin, Güner Gözde2019-10-242019-10-242018https://hdl.handle.net/11467/3068https://doi.org/10.15604/ejbm.2018.06.02.004The use of machine learning and decision tree methods with respect to modelling of big data has been increasing gradually. The data mining has focused on some methods for obtaining the useful information from big data which has not been recognized. The data mining and statistics concentrates upon the identification of structure. The concept of machine learning which evolved out of data mining as a need consists of models and algorithms which analyzes big data and may make significant deductions from data by benefitting from statistics and software. It provides convenience to modelling the big data that the decision tree methods are nonparametric methods. In this paper, the classification tree was created based on C5.0 algorithm by using R programming language.eninfo:eu-repo/semantics/openAccessBig DataData MiningMachine LearningDecision TreesClassification TreeC5.0 AlgorithmCookiesArticle62334710.15604/ejbm.2018.06.02.004