Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
Telemarketing is a well-established marketing approach to offering products and services to prospective customers. The effectiveness of such an approach, however, is highly dependent on the selection of the appropriate consumer base, as reaching uninterested customers will induce annoyance and consu...
Saved in:
Main Authors: | Shahriar Kaisar, Md Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Diro |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-06-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020041 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification
by: Amirreza Salehi, et al.
Published: (2025-01-01) -
Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets
by: Sedat Korkmaz
Published: (2025-03-01) -
Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan
by: Fitri Nuraeni, et al.
Published: (2024-07-01) -
Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding
by: Ibrahim Almubark
Published: (2024-01-01) -
Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
by: Ruize Gao, et al.
Published: (2025-01-01)