{"_buckets": {"deposit": "affc6d44-da73-4c6b-94d1-2c14a397bf11"}, "_deposit": {"id": "4364", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4364"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4364", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Discovering Generalized Association Rule in Web Usage Mining by FP Tree", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Web mining techniques can use to search forweb access patterns, web structures, regularity anddynamics of web contents. Web usage mininganalyzes Web log files to discover user accessingpatterns of Web pages. Log file data can offervaluable insight into web site usage. It reflects actualusage in natural working condition, compared to theartificial setting of a usability lab. This paperpresents web log mining based on hierarchy of webusage data by generalized association rule. Multilevel association rule will be used for implementationof generalized association rule. In this system, Weblog database is used to store web log records of logfiles collected from web server. And web logdatabase are constructed via a process of datacleaning, data transformation. By using FP tree, thesystem generates rules from web log data, will reducecounting phase of association rule since it stores thepre-computed count values. Frequent patterns aregenerated instead of page item-sets. The generatedfrequent patterns can later be applied to improve website management, decision making process."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Web Log"}, {"interim": "Association rules"}, {"interim": "FP tree"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-10-15"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "NJPSC 2019 Proceedings-pages-92-98.pdf", "filesize": [{"value": "701 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 701000.0, "url": {"url": "https://meral.edu.mm/record/4364/files/NJPSC 2019 Proceedings-pages-92-98.pdf"}, "version_id": "da1a1189-26bc-4b18-b9a0-255243ab0a6c"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "National Journal of 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": "Thu, Han Ni Ni Myint"}, {"subitem_authors_fullname": "Oo, Khine Khine"}]}]}, "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": "2019-03"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2302"}, "item_title": "Discovering Generalized Association Rule in Web Usage Mining by FP Tree", "item_type_id": "21", "owner": "1", "path": ["1597824304333"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004364", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-15"}, "publish_date": "2019-10-15", "publish_status": "0", "recid": "4364", "relation": {}, "relation_version_is_last": true, "title": ["Discovering Generalized Association Rule in Web Usage Mining by FP Tree"], "weko_shared_id": -1}