A comparative study of web ranking analysis based on I-ACO and R-PSO

Abstract

The dataset has been prepared by the Google trends. The data considered from April to February month of 2017-2018. The data can be considered of any web data for web worth ranking. But we have considered the data of engineering colleges of the same region. Then association rule mining is applied based on the threshold value. Then I-ACO and R-PSO is applied for the final optimization ranking. We have considered 30% minimum support for the experimentation. One is assigned if it is qualified otherwise it is 0. The results based on web accuracy based on normal, I-ACO and R-PSO have been compared. Maximum and minimum values have been considered for comparison. It is clear from the results that the results outperform in both of the cases. I-ACO and R-PSO produces on the average same accuracy and capable in producing better results.