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": "6c194ee6-91e5-4118-8840-0a520fb32715"}, "_deposit": {"id": "4461", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4461"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4461", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Path Traversal Graph based Web Navigation Patterns Mining", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The evolution of World Wide Web as the maininformation source for millions of peoplenowadays has imposed the need for new methodsand algorithms that are able to processefficiently the vast amounts of data that reside onit. In this paper, we propose an efficient miningapproach to discover the web navigationpatterns by employing the concept of themaximal forward references. We first propose apath traversal graph construction algorithmbased on a compact graph structure, to recordinformation about the navigation paths ofwebsite visitors. We then propose a graphtraverse algorithm to discover the frequent webnavigation patterns. The approach is based onthe path traversal graph algorithm to discoverweb user navigation patterns for the navigationpatterns mining phase. The proposed system hasbeen tested on CTI dataset. These results showfrequent navigation patterns that are moreeffective for personalized configuration ofdynamic websites."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Navigation Pattern Mining"}, {"interim": "Graph Construction and Path Traverse Algorithm"}, {"interim": "Frequent sequence"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10028.pdf", "filesize": [{"value": "771 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 771000.0, "url": {"url": "https://meral.edu.mm/record/4461/files/10028.pdf"}, "version_id": "3c3c4a5f-55de-4f27-b3f2-f37017e4d9df"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "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": "Aye, Theint Theint"}]}]}, "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": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2391"}, "item_title": "A Path Traversal Graph based Web Navigation Patterns Mining", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004461", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-13"}, "publish_date": "2019-11-13", "publish_status": "0", "recid": "4461", "relation": {}, "relation_version_is_last": true, "title": ["A Path Traversal Graph based Web Navigation Patterns Mining"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

A Path Traversal Graph based Web Navigation Patterns Mining

http://hdl.handle.net/20.500.12678/0000004461
http://hdl.handle.net/20.500.12678/0000004461
8ef25827-8f3c-442e-a62f-e4644a3d963f
6c194ee6-91e5-4118-8840-0a520fb32715
None
Preview
Name / File License Actions
10028.pdf 10028.pdf (771 Kb)
Publication type
Article
Upload type
Publication
Title
Title A Path Traversal Graph based Web Navigation Patterns Mining
Language en_US
Publication date 2012-02-28
Authors
Aye, Theint Theint
Description
The evolution of World Wide Web as the maininformation source for millions of peoplenowadays has imposed the need for new methodsand algorithms that are able to processefficiently the vast amounts of data that reside onit. In this paper, we propose an efficient miningapproach to discover the web navigationpatterns by employing the concept of themaximal forward references. We first propose apath traversal graph construction algorithmbased on a compact graph structure, to recordinformation about the navigation paths ofwebsite visitors. We then propose a graphtraverse algorithm to discover the frequent webnavigation patterns. The approach is based onthe path traversal graph algorithm to discoverweb user navigation patterns for the navigationpatterns mining phase. The proposed system hasbeen tested on CTI dataset. These results showfrequent navigation patterns that are moreeffective for personalized configuration ofdynamic websites.
Keywords
Navigation Pattern Mining, Graph Construction and Path Traverse Algorithm, Frequent sequence
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2391
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 14:51:39.603741
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