Customer Churn Scrutiny and Prediction Using Data Extraction Models in Funding Sectors
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 2
Abstract
A new method for customer churn analysis and prediction has been proposed. The method uses data Extraction model in Funding industries. This has been inspired by the fact that there are around 1,5 million churn customers in a year which is increasing every year. Churn customer prediction is an activity carried out to predict whether the customer will leave the company or not. One way to predict this customer churn is to use a catalog technique from data Extraction that produces a machine learning model. This study tested 5 different catalog methods with a dataset consisting of 57 attributes. Experiments were carried out several times using comparisons between different classes. Support Vector Machine (SVM) with a comparison of 50:50 Class sampling data is the best method for predicting churn customers at a private bank in Indonesia. The results of this modeling can be utilized by company who will apply strategic action to prevent customer churn.
Authors and Affiliations
P. Ramalingamma, G. Subba Rao, K. Hari, T. R. Chaitanya
Keywords
Related Articles
- EP ID EP746817
- DOI 10.55524/ijircst.2022.10.2.113
- Views 49
- Downloads 0
Experimental Research for the Single-Stage and Double-Stage Two-Bladed Savonius Micro-Sized Turbine for Rain Water Harvesting (RWH) System
The performance of the single-stage and double-stage two-bladed micro-sized turbines for the Rain Water Harvesting (RWH) System is investigated in this article. The RWH system is a technique of collecting rainwater and s...
Stress-Strain Curves and Residual Stress Analysis for Hot-Rolled Steels
In recent years, usage of advanced analytical as well as computational modeling in operational production has expanded significantly. An essential component of models is a thorough description of stress-strain behavior o...
Enhanced Churn Prediction in the Telecommunication Industry
Prediction models are usually built by applying a supervised learning algorithm to historical data. This involves the use of data analytics system that uses real-time integration and dynamic real time responses data to d...
A Survey on Privacy Preserving Schemes in Vehicular Ad-hoc Networks
The security & privacy issues in Vehicular ad-hoc networks (VANET) are very challenging and must be addressed before they are implemented. VANET is providing various secure services and applications thereby helping the d...
Influence of Data Mining and Data Warehouse on Strategic Planning: A Review Paper
Users can access their data in today's reporting environment, but it does not address all of their issues. The people have access to the statistics, but they cannot ensure the data's truthfulness or the speed with which...