Predicting Customer Purchase Decisions using Data Mining Technique-Reference-Cited by-同舟云学术

Predicting Customer Purchase Decisions using Data Mining Technique

Published:2022-12-01 Issue: Volume: Page:
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Container-title:2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Dasig Daniel D.¹,Calantoc Denver Jhon R.¹,Guarin Rudolph Val F.¹,Taduyo Mary Ann B.²,Ferrer Christine N.³,Claricia Eleonora E.⁴,Agus Gina E.⁴

Affiliation:

1. De La Salle University Dasmarinas,Graduate Studies, College of Science and Computer Studies,Dasmarinas City,Philippines

2. Jose Rizal University,College of Computer Studies and Engineering,Mandaluyong City,Philippines

3. Tarlac Agricultural University,External Linkages and International Affairs,Camiling,Tarlac,Philippines

4. Jose Rizal University,College of Liberal Arts, Criminology & Education,Mandaluyong City,Philippines

Publisher

IEEE

Link

Reference20 articles.

2. Consumer’s Buying Decision-Making Process in E-Commerce;puspitasari;E3S Web of Conferences,2018

3. Comparison of K-Means and Fuzzy C-Means Algorithms on Different Cluster Structures;yildiz;Journal of Agricultural Informatics,2015

4. Factors affecting interest in utilization and use of online shop (study on shopee customers);hidayah;Journal of Soft Computing Exploration,2021

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