A Hybrid Machine Learning and Data Mining-Based Marketing Decision Support System

  • Dr. U. Surya Kameswari, Dr. B. Srinivasa Rao, Suma Sira Jacob, Koteswararao Kattepogu, Geethika Penmetsa, Hemavathi S.

Abstract

While engineering and science employ data mining to solve problems, finance and marketing frequently employ it to confront these same problems. By applying data mining to decision support systems, businesses may both better comprehend the realities of their industry and optimize their performance. Dealing with an unstable economy is the norm for all organizations because of competition, costs, tax pressures, and more. The company is being dragged into a more competitive environment due to global privatization, local privatization, and liberalization. Marketing is a challenging task that needs careful planning and careful execution in order to accomplish desired gains and competition balance. Using an efficient data mining method, the marketing decision support system helps to decrease the organization's difficulties in analyzing and strategic planning. A study of the organizational marketing techniques outlined above focused on developing a decision support system based on data mining, incorporating artificial neural networks and decision trees.

Published
2021-09-12
How to Cite
Dr. U. Surya Kameswari, Dr. B. Srinivasa Rao, Suma Sira Jacob, Koteswararao Kattepogu, Geethika Penmetsa, Hemavathi S. (2021). A Hybrid Machine Learning and Data Mining-Based Marketing Decision Support System. Design Engineering, 11444 - 11454. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/4275
Section
Articles