KFCM-Based Direct Marketing-Reference-Cited by-同舟云学术

KFCM-Based Direct Marketing

Published:2020-10-02 Issue: Volume: Page:495-502
ISSN:2194-5357
Container-title:Rising Threats in Expert Applications and Solutions
language:
Short-container-title:

Author:

Trivedi Naresh Kumar,Kumar Suresh,Jain Sachin,Maheshwari Shikha

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6014-9_57

Reference11 articles.

1. S. Abbas, Deposit subscribe prediction using data mining techniques based real marketing dataset. Int. J. Comput. Appl. 110(3), 975–887 (2015)

2. S. Moro, R.M.S. Laureano, Using data mining for bank direct marketing: an application of the CRISP-DM methodology. Eur. Simul. Model. Conf., Tableure 1, 117–121 (2011)

3. C. Vajiramedhin, A. Suebsing, Feature selection with data balancing for prediction of bank telemarketing. Appl. Math. Sci. 8(114), 5667–5672 (2014)

4. H.A. Elsalamony, Bank direct marketing analysis of data mining techniques. Int. J. Comput. Appl. 85(7), 12–22 (2014)

5. H. Elsalamony, A. Elsayad, Bank direct marketing based on neural network. Int. J. Eng. Adv. Technol. 2(6), 392–400 (2013)

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Measurement of Various Machine Learning Algorithms to Predict Loan Approval;Advances in Business Information Systems and Analytics;2024-06-28

2. Identifying and Categorizing Alzheimer's Disease with Lightweight Federated Learning Using Identically Distributed Images;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. Prediction of Bank Telemarketing Campaign using Machine Learning Approach;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21

4. Alzheimer’s Disease Detection and Classification: An Ensemble Machine Learning Paradigm;2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS);2023-08-02

5. A Comprehensive Review of Mongo DB: Features, Advantages, and Limitations;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06