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Kyaukse University
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Meiktila University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies, Meikhtila
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University of Computer Studies Pathein
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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Yadanabon University
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Yangon University of Economics
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Yangon University of Education
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New Index
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Item
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A Path Traversal Graph based Web Navigation Patterns Mining
http://hdl.handle.net/20.500.12678/0000004461
http://hdl.handle.net/20.500.12678/00000044618ef25827-8f3c-442e-a62f-e4644a3d963f
6c194ee6-91e5-4118-8840-0a520fb32715
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Publication type | ||||||
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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 |