Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking


Index Link

Index Tree

  • RootNode

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "8e184101-e2a5-4b80-bd93-c9a208e22c8c"}, "_deposit": {"id": "3355", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3355"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3355", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Improving Association Rules Mining by Hashing Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Association rule mining, is one of the mostimportant and well researched techniques of datamining. It is the process of discovering large itemsetsappeared in a sufficient number of transactions.Large itemsets from a huge number of candidatelarge itemsets are dominating factor for the overalldata mining performance. This paper presentsmining association rules among items in a largedatabase of sales transactions. To address thisproblem, it present an effective hash-based algorithmfor the candidate set generation. This system appliesan algorithm DHP (Direct Hashing and Pruning) onapplication cosmetic sales data to generate frequentassociation patterns. Generation of smallercandidate sets enables to effectively trim thetransaction database size at a much earlier stage ofthe iterations, thereby reducing the computationalcost of later iterations significantly. Theexperimental results of our system are also discussedin this paper."}]}, "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": "2019-07-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "psc2010paper (180).pdf", "filesize": [{"value": "48 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 48000.0, "url": {"url": "https://meral.edu.mm/record/3355/files/psc2010paper (180).pdf"}, "version_id": "0ceb1184-2609-4b4b-9cf7-248729997b31"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifth 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, Nang Khine Zar"}, {"subitem_authors_fullname": "Tun, Nay Min"}]}]}, "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": "2010-12-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1114"}, "item_title": "Improving Association Rules Mining by Hashing Algorithm", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003355", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-22"}, "publish_date": "2019-07-22", "publish_status": "0", "recid": "3355", "relation": {}, "relation_version_is_last": true, "title": ["Improving Association Rules Mining by Hashing Algorithm"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Improving Association Rules Mining by Hashing Algorithm

http://hdl.handle.net/20.500.12678/0000003355
http://hdl.handle.net/20.500.12678/0000003355
218f10e8-f317-4709-8901-46332064d14e
8e184101-e2a5-4b80-bd93-c9a208e22c8c
None
Preview
Name / File License Actions
psc2010paper psc2010paper (180).pdf (48 Kb)
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 10:00:05.823021
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