An enhancement of Apriori Algorithm for Shopping Cart Analysis of Customers

  • Vidhya G., Marimuthu M., Vinothkumar R. B., Vidyabharathi D., Theetchenya S., Basker N., Mohanraj G.

Abstract

Data mining has seen its tremendous growth in the recent decades, and still it is one of the best domains in which E-Commerce works. The role intricate by data mining in Shopping cart Analysis and Customer Relation Management has led to marvelous growth and performance in business analysis. In other terms data mining means, mining large collections of data and identifying the hidden patterns. In shopping cart analysis data mining is used to predict the product that the customer will buy or wants to buy. This prediction will help the retailers to improve their business. Most commonly used algorithm for this analysis is Apriori algorithm and Association Rule Mining. This system focuses on reducing memory usage, understanding customer preferences and to calculate the support values

Published
2020-06-01
How to Cite
Vidhya G., Marimuthu M., Vinothkumar R. B., Vidyabharathi D., Theetchenya S., Basker N., Mohanraj G. (2020). An enhancement of Apriori Algorithm for Shopping Cart Analysis of Customers . International Journal of Advanced Science and Technology, 29(08), 2124 - 2131. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/23339
Section
Articles