{"created":"2020-09-01T13:14:11.687164+00:00","id":3643,"links":{},"metadata":{"_buckets":{"deposit":"582a4f52-c86f-4c34-9214-f2479a645426"},"_deposit":{"id":"3643","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3643"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3643","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The rapid growth in data and the number of database,there is a need for discovering valuable knowledge in large database which havebusiness data. Today, many companies which are to gain profit from their previousbusiness data are becoming interested to analysis their data for discovering usefulinformation. Because this information can support business decision making andbenefit of organizations. Data mining is approach to fill these requirements and isa machine learning technique on large data items. Association rule mining is oneof the data mining techniques. This paper discuss the multilevel assocaition rulemining from business transcation data and the Boolean Matrix based approachwhich has employed to discover frequent itemsets at different levels. The systemscans the transcation database once and then uses Boolean logical operation togenerate the multilevel association rules. The system implements the applicationwith real-life food products of Food sales Shop."}]},"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":"2019-07-26"}],"displaytype":"preview","filename":"Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop.pdf","filesize":[{"value":"6 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3643/files/Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop.pdf"},"version_id":"cc83490d-2fa6-4308-870f-8434b72ba384"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Sixth 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":"Yi, Nay"},{"subitem_authors_fullname":"Zaw, Wint Thida"}]}]},"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":"2011-12-29"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1375"},"item_title":"Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-26","publish_status":"0","recid":"3643","relation_version_is_last":true,"title":["Mining Multilevel Association Rulesbased on Boolean Matrix for Food Sales shop"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:55:07.191574+00:00"}