{"_buckets": {"deposit": "df751a37-2435-40f2-aac0-65a707d9b4a9"}, "_deposit": {"id": "4910", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4910"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4910", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Implementation Of Web Usage Mining Using Log Markup Language (LOGML) and Closed Association Rule Mining Algorithm (CHARM)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Web usage mining is the discovery of useraccess patterns from Web usage logs. The paperpresents two XML (Extensible Markup Language) 1.0applications and a web data mining applicationwhich utilizes it to extract web data from web logfiles. The two XML 1.0 applications are: LOGML(Log Markup Language) is a web-log reportdescription language and XGMML (ExtensibleGraph Markup and Modeling Language) is a graphdescription language. As a case study, the systemimplements a sample website for web graphinformation and usage information. The main goal ofthis paper is that web graph information transformsto XGMML document and then this graphinformation and cleaned usage information offinished user sessions transforms to LOGMLdocument. The next goal is that these cleaned datawith LOGML document are mined with CHARM(Closed Association Rule Mining) algorithm toimplement the most frequently accessed pages fromone site. CHARM is an efficient algorithm for miningall closed frequent itemsets (set of all subsets ofitems)."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "CHARM"}, {"interim": "Web usage Mining"}, {"interim": "XGMML"}, {"interim": "LOGML"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-12"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (112).pdf", "filesize": [{"value": "175 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 175000.0, "url": {"url": "https://meral.edu.mm/record/4910/files/psc2010paper (112).pdf"}, "version_id": "b15f6ed8-e1ff-43c1-99a7-69322123d500"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifth 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": "Mhon, Gant Gaw Wutt"}, {"subitem_authors_fullname": "Kham, Nang Saing Moon"}]}]}, "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": "2010-12-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/813"}, "item_title": "Implementation Of Web Usage Mining Using Log Markup Language (LOGML) and Closed Association Rule Mining Algorithm (CHARM)", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004910", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-12"}, "publish_date": "2019-07-12", "publish_status": "0", "recid": "4910", "relation": {}, "relation_version_is_last": true, "title": ["Implementation Of Web Usage Mining Using Log Markup Language (LOGML) and Closed Association Rule Mining Algorithm (CHARM)"], "weko_shared_id": -1}