{"_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": ["user-ucsy"]}, "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", "download_preview_message": "", "file_order": 0, "filename": "Noise Elimination from Web Page in Web Content Mining.pdf", "filesize": [{"value": "765 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 765000.0, "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"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004418", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-25"}, "publish_date": "2019-10-25", "publish_status": "0", "recid": "4418", "relation": {}, "relation_version_is_last": true, "title": ["Noise Elimination from Web Page in Web Content Mining"], "weko_shared_id": -1}