{"created":"2020-09-01T14:44:59.862341+00:00","id":4418,"links":{},"metadata":{"_buckets":{"deposit":"12c36bba-b52d-417c-bca2-8a32b3568a1b"},"_deposit":{"id":"4418","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4418"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4418","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Noise Elimination from Web Page in Web Content Mining","subitem_1551255648112":"en_US"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Nowadays, a large number of web pagescontained useful information is oftenaccompanied by a large amount of noise such asbanner advertisements, navigation bars,copyright notices, etc. These noise data canseriously harm for web miners by extractingwhole document rather than the informativecontent and also retrieve non-relevant results. Itis also important to distinguish valuableinformation from noisy data within a single webpage. The web pages are constructed not onlymain contents information like productinformation in shopping domain, job informationin a job domain but also advertisements bar,static content like navigation panels, copyrightsections, etc. When web documents areprocessed, the main content is surrounded bynoise in the retrieved data. To tackle theseissues, a noise elimination process is describedby using html tags and main content is retrievedby using gomory-hu tree."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"noise elimination"},{"interim":"block splitting"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-10-25"}],"displaytype":"preview","filename":"Noise Elimination from Web Page in Web Content Mining.pdf","filesize":[{"value":"765 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4418/files/Noise Elimination from Web Page in Web Content Mining.pdf"},"version_id":"70cecd2c-a18b-4cb8-9d2b-cde3873c15b0"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Thirteenth International Conference On Computer Applications (ICCA 2015)","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":"Linn, Khaing Wah Wah"},{"subitem_authors_fullname":"Phyu, Sabai"}]}]},"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":"2015-02-05"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2352"},"item_title":"Noise Elimination from Web Page in Web Content Mining","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-10-25","publish_status":"0","recid":"4418","relation_version_is_last":true,"title":["Noise Elimination from Web Page in Web Content Mining"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:29:07.871255+00:00"}