{"created":"2020-09-01T15:41:02.080964+00:00","id":5051,"links":{},"metadata":{"_buckets":{"deposit":"c9b2ccbd-81b3-46b5-9df6-06f3d05b1285"},"_deposit":{"id":"5051","owners":[],"pid":{"revision_id":0,"type":"recid","value":"5051"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/5051","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Documents Classification by UsingBi- Dimensional Probability Model","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper proposes to implement Bi-Dimensional Probabilistic Model (BDPM). Thismodel is to find a bi-dimensional representation oftextual documents for the problem of textcategorization. The main idea is to consider theimportance of a word. In this model, terms areseen as disjoint events, and terms and categoriesare related to each other. Terms are measuredwith their presence and expressiveness. Thepresence and expressiveness of a term is definedas the peculiarity of that term. BDPM is documentclassification model which can represent adocument in two dimensional schemes. It can alsobe used for both visualization and classification oftextual documents. To experiment the system,Reuters-21578 newswire dataset is used.Thisbidimensionalmodel has the advantage: no explicitneed for feature selection, to reducedimensionality, since documents are representedby only two dimensions."}]},"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":"2019-07-18"}],"displaytype":"preview","filename":"47_PDFsam_PSC_final proof.pdf","filesize":[{"value":"137 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/5051/files/47_PDFsam_PSC_final proof.pdf"},"version_id":"df924fa1-7a38-4b3d-b12b-28c41aed367d"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eighth 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":"Oo, Myat Su"}]}]},"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":"2017-12-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/944"},"item_title":"Documents Classification by UsingBi- Dimensional Probability Model","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-18","publish_status":"0","recid":"5051","relation_version_is_last":true,"title":["Documents Classification by UsingBi- Dimensional Probability Model"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:16:32.200257+00:00"}