Customer Analysis using Machine Learning with Feature Selection Approaches: A Comparative Study-Reference-Cited by-同舟云学术

Customer Analysis using Machine Learning with Feature Selection Approaches: A Comparative Study

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Subramanian R. Siva¹,Aswini J.²,Bushra S. Nikkath³,Nirmala G.⁴,Maheswari B.⁵

Affiliation:

1. S.A. Engineering College,Dept of CSE

2. Saveetha Engineering College Autonomous, Affiflated to Anna University,Dept of AI & ML

3. St.Joseph's Institute of Technology,Dept of Information Technology

4. R.M.D Engineering College,Dept of CSE

5. Rajalakshmi Institute of Technology,Dept of CSE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010702/10010572/10011059.pdf?arnumber=10011059

Reference19 articles.

1. A Study of Filter-Based Feature Selection in Software Fault Prediction;thi;Intelligence of Things Technologies and Applications ICIOT 2022 Lecture Notes on Data Engineering and Communications Technologies,2022

2. Customer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms

3. Ensemble Variable Selection for Naive Bayes to Improve Customer Behaviour Analysis

4. Evaluation of Different Variable Selection Approaches with Naive Bayes to Improve the Customer Behavior Prediction

5. Customer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms

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