Development of Data Mining Expert System Using Naïve Bayes
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
The 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.
Description
item.page.type
Book chapter
item.page.format
Keywords
Data science, Fashion, Recommendation system, Sale, Style
Citation
Salahat, 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_134