{"created":"2020-09-01T15:41:44.821516+00:00","id":5059,"links":{},"metadata":{"_buckets":{"deposit":"05905367-6747-44bb-a6df-5612f46ed9fc"},"_deposit":{"id":"5059","owners":[],"pid":{"revision_id":0,"type":"recid","value":"5059"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/5059","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Categorization of computer science papers using random forest","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Automatic categorization of text documentis difficult and time consuming. This thesisproposed a method for automatic categorizationof computer science paper using random forestclassifier. Decision trees are widely used for thetext categorization task and random forest offersthe high accuracy and due to the nature ofrandom forest, it is suitable for the task of textcategorization.Random forest used differenttraining dataset and random split at each nodefor the construction of decision forest.Usingrandom forest can provide high accuracy incategorization of text documents.The system willbe implemented using C# programming languageMS SQL server 2005. Computer sciences paperfrom IEEE conferences will be collected andtrained using the random forest. Trained randomforest will be stored using C# serializationtechnique in hard disk. Stored random forest canbe used to classify the incoming conference paperinto their associated category. The proposedsystem will compute the accuracy on the testdataset using hold-out method and will comparethe accuracy with decision tree (C4.5) algorithm."}]},"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":"54_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/5059/files/54_PDFsam_PSC_final proof.pdf"},"version_id":"b604e48b-eadb-46a0-8279-a609d5def63d"}]},"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, Zin Mar"}]}]},"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/123456789/951"},"item_title":"Categorization of computer science papers using random forest","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-18","publish_status":"0","recid":"5059","relation_version_is_last":true,"title":["Categorization of computer science papers using random forest"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T04:09:44.678814+00:00"}