Predicting Customer Loyalty by Using Na?ve Bayes
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science | Indonesia | Volume 9 Issue 1, January 2020

Predicting Customer Loyalty by Using Na?ve Bayes

Teguh Iman Hermanto, Muhamad Agus Sunandar

The effort to increase customer loyalty is by predicting whether the customer is loyal or not. To carry out company development, a customer development strategy is needed, while to carry out customer development strategies can be done using a data mining approach including classification of customers with the method of naive bayes. This study aims to predict consumer loyalty to telecommunication service products. the method used is CRIPS-DM through the stages of business understanding, understanding data, data preparation, modeling, evaluation and development. The algorithm used for prediction is the Naive Bayes algorithm. The results obtained from this study are customer classification models that can help in customer loyalty.

Keywords: Nave Bayes, CRISP-DM, Customer Loyalty, Prediction

Edition: Volume 9 Issue 1, January 2020

Pages: 1064 - 1067

Share this Article

How to Cite this Article?

Teguh Iman Hermanto, Muhamad Agus Sunandar, "Predicting Customer Loyalty by Using Na?ve Bayes", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20204202, Volume 9 Issue 1, January 2020, 1064 - 1067

75 PDF Views | 79 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Nave Bayes'

Research Paper, Computer Science, Myanmar, Volume 2 Issue 9, September 2013

Pages: 104 - 108

Layering Based Network Intrusion Detection System to Enhance Network Attacks Detection

Yi, Mon Aye, Phyu, Thandar

Share this Article

Research Paper, Computer Science, India, Volume 2 Issue 9, September 2013

Pages: 72 - 74

Prediction for Pulmonary Disease Based on Diagnostic Reciepes and Classification

Nidhi, AP Nidhi

Share this Article

Research Paper, Computer Science, Indonesia, Volume 9 Issue 1, January 2020

Pages: 1064 - 1067

Predicting Customer Loyalty by Using Na?ve Bayes

Teguh Iman Hermanto, Muhamad Agus Sunandar

Share this Article

Similar Articles with Keyword 'Prediction'

Research Paper, Computer Science, India, Volume 9 Issue 7, July 2020

Pages: 425 - 427

Heart Disease Prediction System

Sandhya Kumari, Dr. R. Viswanathan

Share this Article

Research Paper, Computer Science, India, Volume 2 Issue 10, October 2013

Pages: 26 - 31

Phylogenetic Analysis Towards Structure Prediction: Influenza a Virus (A/India/m777/2007 (H5N1))

Manish Kumar

Share this Article

Research Paper, Computer Science, India, Volume 9 Issue 10, October 2020

Pages: 44 - 48

IoT based Heart Disease Prediction using Higher Order Boltzmann Deep Belief Neural Network

Shabeena T

Share this Article

Research Paper, Computer Science, India, Volume 2 Issue 10, October 2013

Pages: 174 - 177

Foreign Currency Exchange Rate (FOREX) using Neural Network

V. Lavanya, M. Parveentaj

Share this Article

Research Paper, Computer Science, United States of America, Volume 9 Issue 6, June 2020

Pages: 577 - 580

Sparse Bayesian Machine Learning with application to NBA Data (Python & R)

Yu Wang, Yaoxuan Luan

Share this Article
Top