{"_buckets": {"deposit": "05af3972-cd2d-446e-a883-9b2764cae978"}, "_deposit": {"id": "4041", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4041"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4041", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Myanmar Spam Filtering using Bayesian Model", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Internet has become rich of information. Thisinformation should be properly managed. Electronicmail (E-mail) has become a major problem for internetusers and providers. People are using e-mail servicesbut most of the e-mails are irrelevant or junk calledspams. Spam e-mail is well known problem for bothcorporate and personal users of e-mail. The volume ofnon-English language spam is increasing day by day.The motivation for this research is to find a solution forthe internet users in the Myanmar language withMyanmar e-mail messages received every day in theirmailboxes. So, a classification filter for these e-mailsshould be applied on e-mail servers. Bayesianapproach is being popular for filtering spams. Thisapproach is based on the bayes method. To filter thespam messages, this research applied Bayesian modelfor the framework of Myanmar e-mail spam filtering.In this paper, we are presenting e-mail mining andbayesian spam filtering method."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "E-mail mining"}, {"interim": "Bayesian spam filtering"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "4.Myanmar Spam Filtering using Bayesian Model.pdf", "filesize": [{"value": "93 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 93000.0, "url": {"url": "https://meral.edu.mm/record/4041/files/4.Myanmar Spam Filtering using Bayesian Model.pdf"}, "version_id": "fa982316-d1fe-4e72-9e90-bdf28a783992"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conferences 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": "Kyaw, Thae Naw Naw"}, {"subitem_authors_fullname": "Myo, Nyein Nyein"}]}]}, "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/123456789/175"}, "item_title": "Myanmar Spam Filtering using Bayesian Model", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004041", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4041", "relation": {}, "relation_version_is_last": true, "title": ["Myanmar Spam Filtering using Bayesian Model"], "weko_shared_id": -1}