The title of our study is “Selection of a suitable website for web 3.0 using Nature-inspired computation or Machine learning.” Here we wish to determine the optimized method for the web 3.0 File Information Management System, and provide optimal results using evolutionary computation or machine learning.
For this purpose, we have attached the real-world dataset website data collected from the different agencies like Alexa, Dmoz, Domain authority, Page Authority, Domain age, Google ranking Face book ranking, twitter, etc. in the Excel data file.
In this excel sheet, the columns are different ranking agencies given rank to the website mentioned in the second column. Here, 1 means the least priority and 100 means maximum priority given. Now, it is required to perform suitable statistical analysis of the data based on the available parameters and predict the best website or tuple (a data structure consisting of multiple parts). Thereafter, it is required to write a full research paper of about 3000 words (i.e the words in main text of the paper; words in references are not counted)