{"created":"2020-09-01T15:08:58.725767+00:00","id":4590,"links":{},"metadata":{"_buckets":{"deposit":"a28bd3fb-c057-419c-aec0-68dab6b91a97"},"_deposit":{"id":"4590","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4590"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4590","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Since origination of mining, frequent patternmining has become a mandatory issue in datamining. Transaction process for mining pattern needsefficient data structures and algorithms. This systemproposed tree structure, called GMTree(Generateand Merge Tree)-GTree(Group Tree), which is ahybrid of prefix based incremental mining usingcanonical order tree and batch incrementingtechniques. Proposed system make the tree structuremore compact, canonically ordered of nodes andavoids sequential incrementing of transactions. Itgives a scalable algorithm with minimum overheadsof modifying the tree structure during updateoperations. It operates on extremely largetransaction database in dynamic environment whichis especially expected to give better results in thiscase.The proposed system used Apache Hadoop andhybrid GMTree-GTree. The results shows Hadoopimplementation of algorithm performs more timesbetter than in Java."}]},"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":"2019-07-03"}],"displaytype":"preview","filename":"65-71.pdf","filesize":[{"value":"324 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4590/files/65-71.pdf"},"version_id":"25a76235-e602-4c4c-8445-edbc3f2e30c8"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Sixteenth International Conferences on Computer Applications(ICCA 2018)","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":"Aung, Than Htike"},{"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":"2018-02-22"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/251"},"item_title":"Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-03","publish_status":"0","recid":"4590","relation_version_is_last":true,"title":["Frequent Pattern Mining for Stream Data by Using Hadoop GM-Tree and GTree"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:16:21.324495+00:00"}