Open access Jurnal SINTA 1
Learning trends in customer churn with rule-based and kernel methods
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 5 (2022)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2022-10-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
In the present article an attempt has been made to predict the occurrences of customers leaving or ‘churning’ a business enterprise and explain the possible causes for the customer churning. Three different algorithms are used to predict churn, viz. decision tree, support vector machine and rough set theory. While two are rule-based learning methods which lead to more interpretable results that might help the marketing division to retain or hasten cross-sell of customers, one of them is a kernel-based classification that separates the customers on a feature hyperplane. The nature of predictions and rules obtained from them are able to provide a choice between a more focused or more extensive program the company may wish to implement as part of its customer retention program.
Collaboration network of the authors
40 authors · 229 co-authorship links · 81 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Imam Abdulrahman Bin Faisal University
- Al-Balqa Applied University
- King Saud University
- Amman Arab University
- Fujairah University
- Wenzhou-Kean University
- King Hussein Cancer Center
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ghaith M. Jaradat | Amman Arab University | 15 |
| Usama A. Badawi | Imam Abdulrahman Bin Faisal University | 12 |
| Malek Alzaqebah | Imam Abdulrahman Bin Faisal University | 12 |
| Ibrahim Almarashdeh | Imam Abdulrahman Bin Faisal University | 10 |
| Sana Jawarneh | Imam Abdulrahman Bin Faisal University | 10 |
| Jehad Saad Alqurni | Imam Abdulrahman Bin Faisal University | 10 |
| Firas Haddad | Imam Abdulrahman Bin Faisal University | 6 |
| Eman A. E. Ahmed | Imam Abdulrahman Bin Faisal University | 6 |
| Nashat Alrefai | Imam Abdulrahman Bin Faisal University | 5 |
| Raed Ali Alkhasawneh | Imam Abdulrahman Bin Faisal University | 4 |
| Mohammed Fahed Tayfour | Imam Abdulrahman Bin Faisal University | 4 |
| Rami Mustafa A. Mohammad | Imam Abdulrahman Bin Faisal University | 4 |
| Ibrahim Al-marashdeh | Affiliation unknown | 4 |
| Yousef Qawqzeh | Fujairah University | 3 |
| Muneerah Alshabanah | Imam Abdulrahman Bin Faisal University | 3 |
| Daniah Alrajhi | Imam Abdulrahman Bin Faisal University | 3 |
| Hanouf Alkhaldi | Imam Abdulrahman Bin Faisal University | 3 |
| Mohammad Almatari | Al-Balqa Applied University | 3 |
| Belal Abuhaija | Wenzhou-Kean University | 3 |
| Aladeen Alloubani | King Hussein Cancer Center | 3 |
| Tamer Farag | Imam Abdulrahman Bin Faisal University | 3 |
| Walaa Hassan | Imam Abdulrahman Bin Faisal University | 3 |
| Ahmad Mohamad Al-Smadi | Al-Balqa Applied University | 1 |
| Abdel Karim Baareh | Al-Balqa Applied University | 1 |
| Hayam Abouelmagd | Imam Abdulrahman Bin Faisal University | 1 |
| Osman Saad Shidwan | Imam Abdulrahman Bin Faisal University | 1 |
| Ali Al‐Yousef | Jerash University | 1 |
| Anmar Abu-Hamdah | Affiliation unknown | 1 |
| Khalid Shaker | University of Anbar | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.