2026-06-27T22:41:04Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4367 2021-12-13T01:45:59Z 1582963302567:1597824304333 user-ucsy

Implementation of Web Page Prediction Using Web Usage Mining by Markov Tree Algorithm and Longest Common Subsequence (LCS) Htut, Su Wine Lwin, Wai Wai A web prediction model helps to predict userrequests ahead of time, making web servers moreresponsive. Web usage mining based on users’clickstream data and it is the main subject in webprediction systems. Prediction the near future webpages based on user’s current clickstream data. Thispaper presents web page prediction through webusage mining and it also presents classification ofusers’ navigation pattern to predict users’ futureintentions. Markov Tree algorithm is used in webaccess pattern generation. Markov tree modelbehaves an All-Kth-order Markov model because ofits ability to recognize different order modelsaccording to the height of the tree. A Markov treegives a complete description on the frequency withwhich a particular state occurs, and the number oftimes a path to a particular state is used, to access itschild nodes. Longest Common Subsequence algorithmis used in web page prediction based on user accesspatterns. 2019-03 http://hdl.handle.net/20.500.12678/0000004367 https://meral.edu.mm/records/4367