WEB USAGE MINING USING FP GROWTH ALGORITHM: E-LEARNING PORTAL
S.Iswarya, S.Naga Tripura Sudha · Journal of Emerging Technologies and Innovative Research · 2021
Web usage mining is the part of web mining. The information is collected as result in horrendously huge data in web. The information is gathered by the quantity of guests in the internet searcher. Utilization information catches the personality or root of Web clients alongside their perusing conduct at a Website. Web use mining itself can be arranged further contingent upon the sort of utilization information considered. They are web worker information, application worker information and application level information. Web worker information compare to the client logs that are gathered at Web worker. A portion of the run of the mill information gathered at a Web worker incorporate IP addresses, page references, and access season of the clients and is the principle contribution to the current explores. E- Learning is one of the Web based application where it will look with huge measure of information. To create the E-Learning entrance utilization examples and client practices, this paper executes the elevated level cycle of Web Usage mining utilizing essential Association Rules calculation known as FP development Algorithm.