Development of Data Mining Expert System Using Naïve Bayes

Simple item page
dc.contributor.authorSalahat, Mohammed
dc.contributor.authorAl-Dmour, Nidal A.
dc.contributor.authorSaid, Raed A.
dc.contributor.authorAlzoubi, Haitham M.
dc.contributor.authorAlshurideh, Muhammad
dc.date.accessioned2023-10-13T06:30:10Z
dc.date.available2023-10-13T06:30:10Z
dc.date.copyright© 2023
dc.date.issued2023
dc.description.abstractThe 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.
dc.identifier.citationSalahat, 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
dc.identifier.issn1860949X
dc.identifier.urihttps://doi.org/10.1007/978-3-031-12382-5_134
dc.identifier.urihttps://hdl.handle.net/20.500.12519/914
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofseriesThe Effect of Information Technology on Business and Marketing Intelligence Systems; Volume 1056
dc.rightsLicense to reuse abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holderCopyright : © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.subjectData science
dc.subjectFashion
dc.subjectRecommendation system
dc.subjectSale
dc.subjectStyle
dc.titleDevelopment of Data Mining Expert System Using Naïve Bayes
dc.typeBook chapter

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Access Instruction 914.pdf
Size:
105.15 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

International Business