{"_buckets": {"deposit": "e213aeb4-875d-4b42-b4fa-3e572dd9f504"}, "_deposit": {"id": "4300", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4300"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4300", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Discovering Generalized Association Rule in Web Usage Mining by Frequent Pattern Tree (FP-TREE)", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Web mining techniques can be used to search for web access patterns, webstructures, regularity and dynamics of web contents. Web usage mining analyzes Weblog files to discover user accessing patterns of Web pages. Log file data can offervaluable insight into web site usage. It reflects actual usage in natural workingcondition, compared to the artificial setting of a usability lab. This system presentsweb log mining based on hierarchy of web usage data by generalized association rule.Multi-level association rule is used for implementation of generalized associationrule. In this system, Web log database is used to store web access records in log filescollected from web server. And web log databases are constructed via a process ofdata cleaning, data transformation. By using Frequent Pattern Tree (FP- Tree), thesystem generates rules from web log data, and reduces counting phase of associationrule since it stores the pre-computed count values. Frequent patterns are generatedinstead of page item-sets. The generated frequent patterns can later be applied toimprove web site management, decision making process.This system is implemented using ASP.Net programming language withMicrosoft SQL Server 2008 R2 Database Engine."}]}, "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": "2019-09-23"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "HanNiNiMyintThu.pdf", "filesize": [{"value": "5766 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 5766000.0, "url": {"url": "https://meral.edu.mm/record/4300/files/HanNiNiMyintThu.pdf"}, "version_id": "9367f488-bbba-4e0b-8238-f4eeeb906ee7"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "", "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": "University of Computer Studies, Yangon", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thu, Han Ni Ni Myint"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-02"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2240"}, "item_title": "Discovering Generalized Association Rule in Web Usage Mining by Frequent Pattern Tree (FP-TREE)", "item_type_id": "21", "owner": "1", "path": ["1597824322519"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004300", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-09-23"}, "publish_date": "2019-09-23", "publish_status": "0", "recid": "4300", "relation": {}, "relation_version_is_last": true, "title": ["Discovering Generalized Association Rule in Web Usage Mining by Frequent Pattern Tree (FP-TREE)"], "weko_shared_id": -1}