SIA OpenIR  > 工业信息学研究室  > 先进制造技术研究室
Knowledge acquisition based on rough set and data mining
Guo HF(郭海峰); Zhou XM(周小明); Zhu YL(朱云龙)
Department先进制造技术实验室
Conference Name2009 International Conference on Future BioMedical Information Engineering, FBIE 2009
Conference DateDecember 13-14, 2009
Conference PlaceSanya, China
Author of SourceInternational Science and Engineering Center; Intell. Inf. Technol. Appl. Res. Assoc.
Source PublicationFBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering
PublisherIEEE Computer Society
Publication PlacePiscataway, NJ, USA
2009
Pages126-128
Indexed ByEI ; CPCI(ISTP)
EI Accession number20101112764596
WOS IDWOS:000290244100031
Contribution Rank2
ISBN978-1-4244-4691-9
KeywordCbr Case Knowledge Acquisition Rough Set Data Mining
AbstractThe case-based reasoning (CBR) becomes a novel paradigm that solves a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation. However, the acquisition of case knowledge is a bottleneck within case-based reasoning. The use of rough set and data mining to discover knowledge from traditional database and to construct case base is desired. In this paper we discuss, in detail, the approach taken to acquire case knowledge. Rough set is used to preprocess the raw data that is noisy and redundant on the attribute. A Kohonen network is proposed to identify initial clusters within the data having been preprocessed. These clusters are then analyzed using C.45 and non-unique clusters are grouped to form concepts. Cases are then chosen from each of the identified concepts as well as outliers in the database. The results indicate that the proposed approach achieves a high reduction in the size of the case base.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19940
Collection工业信息学研究室_先进制造技术研究室
Corresponding AuthorGuo HF(郭海峰)
Affiliation1.College of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
Recommended Citation
GB/T 7714
Guo HF,Zhou XM,Zhu YL. Knowledge acquisition based on rough set and data mining[C]//International Science and Engineering Center; Intell. Inf. Technol. Appl. Res. Assoc.. Piscataway, NJ, USA:IEEE Computer Society,2009:126-128.
Files in This Item: Download All
File Name/Size DocType Version Access License
Knowledge acquisitio(1369KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Guo HF(郭海峰)]'s Articles
[Zhou XM(周小明)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo HF(郭海峰)]'s Articles
[Zhou XM(周小明)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo HF(郭海峰)]'s Articles
[Zhou XM(周小明)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Knowledge acquisition based on rough set and data mining.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.