政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76784

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50800679 Online Users : 817

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/76784

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76784

Title:	Discovering phenomena - Correlations among association rules
Authors:	Wu, Y.-H.;Chang, M.Y.-C.;Chen, Arbee L. P. 陳良弼
Contributors:	資科系
Keywords:	Association rules;Hierarchical tree;Data acquisition;Data warehouses;Database systems;Hierarchical systems;Query languages;Trees (mathematics);Data mining
Date:	2006-01
Issue Date:	2015-07-21 15:53:25 (UTC+8)
Abstract:	With the growth of various data types, mining useful association rules from large databases has been an important research topic nowadays. Previous works focus on the attributes of data items to derive a variety of association rules. In this paper, we use the attributes of transactions to organize the data as a multiple-attribute hierarchical tree where the multiple-attribute association rules can be efficiently derived. Furthermore, we store the derived rules as a frequent hierarchical tree and allow users to specify various types of queries for finding interesting correlations named phenomena among the rules. We then make experiments to evaluate the performance of our approach.
Relation:	Journal of Internet Technology, 7(1), 1-10
Data Type:	article
Appears in Collections:	[資訊科學系] 期刊論文

Files in This Item:

File	Description	Size	Format
1-10.pdf		1308Kb	Adobe PDF2	696	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...