2026-04-16T20:44:31Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5072 2022-03-24T23:16:32Z 1582963302567:1597824273898 user-ucsy

WAS: Grouping of Web Sessions using Sequence Alignment Method Aye, Hnin Nu Maw, Myint Myint The World Wide Web (WWW) is serving asa huge widely distributed global informationservice center for technical information. Webbased information and web applications areexploited the navigational traces of the users inorder to extract knowledge about their preferencesand their behavior on web usage mining. In WebUsage Mining, grouping web sessions are how tomeasure the similarity between web sessions fordetermining the behavior or intent of a set ofusers. This system performs grouping web accesssequences (WASs) as grouping web sessions usingsequence alignment method, which considers theglobal and local alignment techniques ofsimilarity measurement. The task of the globalalignment method is calculation of maximizing theintra-group similarity and local alignment methodis minimizing the inter-group similarity. In thispaper, this system is chronologically orderedsequences of page accessed as WASs according tolength of sessions. 2017-12-27 http://hdl.handle.net/20.500.12678/0000005072 https://meral.edu.mm/records/5072