{"_buckets": {"deposit": "cecc5f77-a09d-4774-9e55-068f65c2e862"}, "_deposit": {"id": "3842", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3842"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3842", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Finding Association Rules from Sales Data with Apriori Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The association rule mining is one of the primary sub-areas in the field of data mining . This type of mining ,the association rule searches for interesting relation among item in a given data set , has been used in numerous practical applications : market basket analysis , catalog design and loss-leader analysis . In this paper, Apriori algorithm is implied for mining frequent itemsets for Boolean association rules with a large amount of items in a database. Consequently, every itemset is employed with level-wise search to provide achieving more frequent itemsets found. Furthermore , the user is eventually allowed to understand this system with two step process including join and prune actions. As a result, the valuable information is allowed to the user with a variety of threshold value. The association rule resulted from Apriori algorithm is also improved into strong rule according to these threshold values."}]}, "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": "2019-07-31"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "54164.pdf", "filesize": [{"value": "347 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 347000.0, "url": {"url": "https://meral.edu.mm/record/3842/files/54164.pdf"}, "version_id": "8abda140-8b1d-4a4c-bea2-404be8793b72"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth 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": "Thein, Shwe Sin"}]}]}, "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": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1568"}, "item_title": "Finding Association Rules from Sales Data with Apriori Algorithm", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003842", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-31"}, "publish_date": "2019-07-31", "publish_status": "0", "recid": "3842", "relation": {}, "relation_version_is_last": true, "title": ["Finding Association Rules from Sales Data with Apriori Algorithm"], "weko_shared_id": -1}