English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40649
Visitors : 638086      Online Users : 50
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52507

Title: Related families-based methods for updating reducts under dynamic object sets
Authors: Guangming Lang
Qingguo Li
Mingjie Cai
Hamido Fujita
Hongyun Zhang
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Covering rough sets
Dynamic covering decision information system
Feature selection Related family
Date: 2019-04-24
Issue Date: 2019-11-18T08:14:38Z
Publisher: Knowledge and Information Systems
Abstract: Abstract: Due to rapid growth of data with respect to time, feature selection in dynamic covering decision information systems (DCDISs) is an important research direction of covering rough set theory, and we have not observed researches on related families-based methods for updating reducts of DCDISs with dynamic object variations. In this paper, we first introduce the concepts of covering decision approximation spaces (CDASs) and dynamic covering decision approximation spaces (DCDASs) when varying object sets, and illustrate the relationship between related sets of CDASs and those of DCDASs. Then incremental learning methods based on related families are provided for feature selection in DCDISs with the addition and deletion of objects. Finally, we develop the corresponding heuristic incremental algorithms for feature selection in DCDISs and employ experimental results on benchmark datasets to demonstrate that these algorithms give satisfactory results in terms of running times.
Relation: 60(2) pp 1081-1104
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52507
Appears in Collections:[資訊工程學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML24View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋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,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback