IEEE

Modified Improved Apriori Algorithm for Reduced Time Complexity

Abstract: In today's era, transactional datasets are ubiquitous and continue to grow in size, making it increasingly challenging to mine frequent itemsets efficiently. The Apriori algorithm is a ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Frontiers

State evaluation of zinc oxide arresters based on the initial probabilistic self-learning Bayes algorithm

State Grid Jiangsu Electric Power Co., Ltd., Yancheng Dafeng District Power Supply Branch, Yancheng, China Improving the accuracy of state evaluation for Zinc Oxide (ZnO) surge arresters is essential ...
IEEE

Comparative Analysis of Apriori, FP-Growth, and ECLAT Algorithms for Effective Grocery Store Management and Product Recommendations

Abstract: In the dynamic landscape of grocery retail, administrators face the challenge of efficiently managing inventory and making informed decisions to enhance sales and customer satisfaction.