2026-08-26T05:57:46Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3334 2021-12-13T06:02:15Z 1582963302567:1597824273898 user-ucsy

Web Searching Based on Clustering Approach Soe, Thinzar Nwe, Tin Htar The dynamic web has increasedexponentially over the past few years with morethan thousands of documents related to a subjectavailable to user now. Most of the web documentsare unstructured and not in organized manner andhence user facing more difficult to find relevantdocuments. A more useful and efficient mechanismis combining clustering with ranking, whereclustering can group the similar documents in oneplace and ranking can be applied to each clusterfor viewing the top document at the beginning.This paper is proposed tf-idf based MLTransTrie(Multiple level Association Rule, TransposedDatabase,Trie) algorithm for clustering the webdocument. We then ranked the documents in eachcluster using tf-idf and similarity factor ofdocuments based on the user query. This approachwill help the user to get all his relevant documentin one place. 2017-12-27 http://hdl.handle.net/20.500.12678/0000003334 https://meral.edu.mm/records/3334