{"created":"2020-09-01T13:07:26.394067+00:00","id":3542,"links":{},"metadata":{"_buckets":{"deposit":"a11412be-c683-46b7-bf38-3c5905e6acbd"},"_deposit":{"id":"3542","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3542"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3542","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Clustering Technique using Concepts for Web Documents","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Web document clustering becomes an essentialtechnology with the popularity of the Internet. Thatalso means that fast and high-quality documentclustering techniques play core topics. One of themain issues for clustering is the feature selection forthe documents. The selected features should containsufficient or more reliable information about originalweb documents. Feature selection is importantbecause some of the irrelevant or redundant featuremay misguide the clustering result. To counteractthis issue, this paper proposes the concept weight forfeature selection which can improve the efficiencyand accuracy of clustering. The system is designed toperform document preprocessing, weight estimationand clustering process that uses the term weight andsemantic weight. This paper introduces a methodwhich proposed the concept weight for clusteringprocess."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Clustering"},{"interim":"feature selection"},{"interim":"concept weight"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-25"}],"displaytype":"preview","filename":"psc2010paper (81).pdf","filesize":[{"value":"29 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3542/files/psc2010paper (81).pdf"},"version_id":"5abb3137-26b0-4d47-9a9f-bf461a3bd775"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fifth Local Conference on Parallel and Soft Computing","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":"Tar, Hmway Hmway"},{"subitem_authors_fullname":"Nyunt, Thi Thi Soe"}]}]},"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":"2010-12-16"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1282"},"item_title":"Clustering Technique using Concepts for Web Documents","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-25","publish_status":"0","recid":"3542","relation_version_is_last":true,"title":["Clustering Technique using Concepts for Web Documents"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:15:54.425288+00:00"}