Decision Support System to Decide The Right Marketing Strategy Using Data Mining, Semantic Web and Ontology

Abstract

With the development of the internet, retail companies were began to realize that as a critical factor to succeed their business, advertisement and promotion of a product on the web influenced the level of customer purchases. And it can served as a trace of customer shopping habits, the most important thing to consider is that potential data for retail companies are from the positive and negative response of customer. Therefore, the work in this paper is about our earlier work of concepts and techniques of semantic web and ontology to retrieve the data, then the data are store in a database and process to become data mining, which are useful in decision making. By using data mining and decision support system retail companies can always communicate a better offer to their client, and also can increase the level of client satisfaction provided by companies.