OPTIMASI RANDOM FOREST TERHADAP DATA TELCO CUSTOMER CHURN MENGGUNAKAN FIREFLY ALGORITHM
Customer churn is the percentage of customers who have stopped or switched using a product/service periodically. The telecommunications industry experiences an average annual churn rate of 30-35%, and acquiring new customers is 5-10 times more expensive than retaining existing ones. Predicting churn...
Saved in:
Main Author: | Abril Muhammad Fikar Wijaya, (Author) |
---|---|
Format: | Book |
Published: |
2024-01-12.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PENERAPAN KLASIFIKASI BACKPROPAGATION TERHADAP DATA TELCO CUSTOMER CHURN DENGAN SELEKSI FITUR FORWARD SELECTION
by: Deby Rianasari,
Published: (2022) -
The Firefly of France
by: Angellotti, Marion Polk, 1887-1975 -
Prediction of customer churn for ABC Multistate Bank using machine learning algorithms / Hui Shan Hon ... [et al.]
by: Hui, Shan Hon, et al.
Published: (2023) -
The Tale of Freddie Firefly
by: Bailey, Arthur Scott, 1877-1949 -
Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study
by: Kwon, Hongwook, et al.
Published: (2021)