Apri̇ori̇ Algori̇tmasi İle Akilli Telefon Pi̇yasa Anali̇zi̇: Türki̇ye Örneği̇

Abstract

With the disappearance of the borders among the countries, competition has been moved to an international level. With the customer-oriented marketing understanding, customers have become the most important assets of the enterprises. With the global continuation of competition, carrying out different marketing activities for their current customers and potential customers has become a necessity for the enterprises to ensure continuity. At the point of being able to carry out correct delivery regarding the product and service preferences of the customers, the enterprises’ need for further customer data has emerged. In the context of reaching further data and interpreting the data, data mining has become an important topic for the enterprises. With this study, it has been aimed to analyze, with the association rules, the technical features of the mobile phones having iOS and Android operating systems and to identify which technical features appear together. Trials were conducted on in how many categories the data will be categorized and the dataset was discretized into the category number revealing the highest performance values. The achieved results will be helpful for a clearer understanding of the features of the products available in the mobile phone market.