{"created":"2020-09-01T14:26:27.522188+00:00","id":4269,"links":{},"metadata":{"_buckets":{"deposit":"f6717858-54c6-4112-8377-46d7d59ff580"},"_deposit":{"id":"4269","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4269"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4269","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Web page Classification Using Ant Colony Algorithm","subitem_1551255648112":""}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In this paper we describe the newclassification algorithm for web pageclassification that is ant colony optimizationalgorithm. The algorithm’s aim is to solve fordiscrete problem and discreteness of textdocuments’ features. In this paper, the systemconsists of two parts for classification: trainingprocessing and categorizing processing. Intraining process, the system removes theunnecessary part of the web page inpreprocessing step. After preprocessing step,each text is represented by vector space modelusing TF-IDF formula. In the categorizingprocess, the testing web page is tested to classifyappropriated class label by using ant colonyalgorithm. Ant colony algorithm works to findthe optimal path or optimal class for text featuresby matching during iteration in the algorithm.Our proposed system is more robust and flexiblethan other traditional machine learning becauseit is based on swarm intelligence behaviors. Thesatisfactory accuracy of classification will get inthis proposed system."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-08-13"}],"displaytype":"preview","filename":"ICCA2015.pdf","filesize":[{"value":"603 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4269/files/ICCA2015.pdf"},"version_id":"033541c9-47d8-4e57-89e3-5d3eaf775307"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conference On Computer Applications (ICCA 2015)","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":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2126"},"item_title":"Web page Classification Using Ant Colony Algorithm","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-08-13","publish_status":"0","recid":"4269","relation_version_is_last":true,"title":["Web page Classification Using Ant Colony Algorithm"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:27:44.183663+00:00"}