Salahat, MohammedAl-Dmour, Nidal A.Said, Raed A.Alzoubi, Haitham M.Alshurideh, Muhammad2023-10-132023-10-13© 20232023Salahat, M., Al-Dmour, N. A., Said, R. A., Alzoubi, H. M., & Alshurideh, M. (2023). Development of Data Mining Expert System Using Naïve Bayes. In M. Alshurideh, B.H. Al Kurdi, R. Masa’deh, H.M. Alzoubi & S. Salloum (Eds.) The Effect of Information Technology on Business and Marketing Intelligence Systems, 1056, (pp. 2437-2448). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-12382-5_1341860949Xhttps://doi.org/10.1007/978-3-031-12382-5_134https://hdl.handle.net/20.500.12519/914The consumer spectrum consists of a wide range, including the affluent, middle-income, and low-income. This consumer shows different behaviors or motivations towards choosing clothes. We want to develop a framework for a Sale Recommendation System. These expert System can be helpful for sale persons, fashion designer, promoter, brand manager as well as sponsor of Recommendation System. The study implemented the Data Science approach and techniques to see how reliable Recommendation Systems are and in our selected dataset we have applied different modelling techniques such as KNN, SVM, Bayes Naïve and Decision Tree and fond the NB as the most suitable and practical method of modelling in regard to the accuracy, recall and runtime. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.enLicense to reuse abstract has been secured from Springer Nature and Copyright Clearance Center.Data scienceFashionRecommendation systemSaleStyleBook chapterCopyright : © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.