Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "24bfeecc-e8a6-4cfe-84a7-dbfb7ceab9a9"}, "_deposit": {"id": "4222", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4222"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4222", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Adaptive Duplicate Detection in XML Document Based on Hash Function", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The task of detecting duplicate records thatrepresents the same real world object in multipledata sources, commonly known as duplicatedetection and it is relevant in data cleaning anddata integration applications. Numerous approachesboth for duplicate detection in relational and XMLdata exist. As XML becomes increasingly popularfor data representation, algorithms to detectduplicates in XML documents are required.Previous domain independent solutions to thisproblem relied on standard textual similarityfunctions (e.g., edit distance, cosine metric) betweenobjects. However, such approaches result in largenumbers of false positives if we want to identifydomain-specific abbreviations and conventions.In this paper, we present a generalizedframework for duplicate detection, specialized toXML. The aim of this research is to develop anefficient algorithm for detecting duplicate incomplex XML documents and to reduce number offalse positive by using hash function algorithm."}]}, "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": "2019-08-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "59023.pdf", "filesize": [{"value": "77 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 77000.0, "url": {"url": "https://meral.edu.mm/record/4222/files/59023.pdf"}, "version_id": "c4e41b81-444c-4f9b-8887-9055fb86ed50"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on 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": "Lwin, Thandar"}, {"subitem_authors_fullname": "Nyunt, Thi Thi Soe"}]}]}, "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": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1914"}, "item_title": "Adaptive Duplicate Detection in XML Document Based on Hash Function", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004222", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-06"}, "publish_date": "2019-08-06", "publish_status": "0", "recid": "4222", "relation": {}, "relation_version_is_last": true, "title": ["Adaptive Duplicate Detection in XML Document Based on Hash Function"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Adaptive Duplicate Detection in XML Document Based on Hash Function

http://hdl.handle.net/20.500.12678/0000004222
http://hdl.handle.net/20.500.12678/0000004222
c26c7559-332f-490b-acc9-41cf17b7537a
24bfeecc-e8a6-4cfe-84a7-dbfb7ceab9a9
None
Preview
Name / File License Actions
59023.pdf 59023.pdf (77 Kb)
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 14:21:50.691933
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL