{"created":"2020-09-01T14:26:47.353892+00:00","id":4271,"links":{},"metadata":{"_buckets":{"deposit":"6fb4bf21-ed9c-43a3-8c25-aec8d7895ddc"},"_deposit":{"id":"4271","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4271"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4271","sets":["1582963302567:1597824175385"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Classification of Web pages using TF-IDF and Ant Colony Optimization","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In this paper we describe the new classification algorithm for web page classification is ant colony optimizationalgorithm. The algorithm’s aim is to solve for discrete problem and discreteness of text documents’ features. In this paper, thesystem consists two parts for classification: training processing and classifying processing. In training process, the systemremoves the unnecessary part of the web page in preprocessing step. After preprocessing step, each text is represented by vectorspace model using TF-IDF formula. In the classifying process, the testing web page is tested to classify appropriated class labelby ant colony algorithm and ant colony algorithm works to find the optimal path or optimal class for text features by matchingduring iteration in the algorithm. The satisfactory accuracy of classification can be getting in this system."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Ant Colony Optimization (ACO)"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-08-13"}],"displaytype":"preview","filename":"IJSERT.pdf","filesize":[{"value":"572 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4271/files/IJSERT.pdf"},"version_id":"137bedab-7f9b-40e5-b75e-266d667beaa6"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"International Journal of Scientific Engineering and Technology Research(IJSERT)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"San, Pan Ei"},{"subitem_authors_fullname":"Aye, Nilar"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2014-12"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"2319- 8885"},"item_title":"Classification of Web pages using TF-IDF and Ant Colony Optimization","item_type_id":"21","owner":"1","path":["1597824175385"],"publish_date":"2019-08-13","publish_status":"0","recid":"4271","relation_version_is_last":true,"title":["Classification of Web pages using TF-IDF and Ant Colony Optimization"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:27:07.843640+00:00"}