政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/70630

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109951/140892 (78%)
Visitors : 46212061 Online Users : 944

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 > 商學院 > 企業管理學系 > 期刊論文 > Item 140.119/70630

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/70630

Title:	Constructing a decision tree from data with Hierarchical Class Labels
Authors:	唐揆 Tang, Kwei
Contributors:	企管系
Keywords:	Classification;Decision tree;Hierarchical class label
Date:	2009.04
Issue Date:	2014-10-16 17:52:45 (UTC+8)
Abstract:	Most decision tree classifiers are designed to classify the data with categorical or Boolean class labels. Unfortunately, many practical classification problems concern data with class labels that are naturally organized as a hierarchical structure, such as test scores. In the hierarchy, the ranges in the upper levels are less specific but easier to predict, while the ranges in the lower levels are more specific but harder to predict. To build a decision tree from this kind of data, we must consider how to classify data so that the class label can be as specific as possible while also ensuring the highest possible accuracy of the prediction. To the best of our knowledge, no previous research has considered the induction of decision trees from data with hierarchical class labels. This paper proposes a novel classification algorithm for learning decision tree classifiers from data with hierarchical class labels. Empirical results show that the proposed method is efficient and effective in both prediction accuracy and prediction specificity.
Relation:	Expert Systems with Applications, 36(3), 4838-4847
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.eswa.2008.05.044
DOI:	10.1016/j.eswa.2008.05.044
Appears in Collections:	[企業管理學系] 期刊論文

Files in This Item:

File	Description	Size	Format
48384847.pdf		841Kb	Adobe PDF2	1000	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...