CASIA OpenIR  > 09年以前成果
Multilevel data summarization from information systems: a "rule plus exception" approach
Wang, J; Zhao, M; Zhao, K; Han, SQ
Source PublicationAI COMMUNICATIONS
2003
Volume16Issue:1Pages:17-39
SubtypeArticle
AbstractIn this paper we present a theoretical framework on Multilevel Data Summarization (MDS) - a process to summarize an information system into rule sets with different concise degrees (granularity) and corresponding exception sets, which is viewed as the rule-plus-exception model in cognitive science.
KeywordData Mining Rough Set Theory Granular Computing Rule-plus-exception Model
WOS HeadingsScience & Technology ; Technology
WOS KeywordINDUCTION ; MODEL
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000182262400003
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9892
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wang, J,Zhao, M,Zhao, K,et al. Multilevel data summarization from information systems: a "rule plus exception" approach[J]. AI COMMUNICATIONS,2003,16(1):17-39.
APA Wang, J,Zhao, M,Zhao, K,&Han, SQ.(2003).Multilevel data summarization from information systems: a "rule plus exception" approach.AI COMMUNICATIONS,16(1),17-39.
MLA Wang, J,et al."Multilevel data summarization from information systems: a "rule plus exception" approach".AI COMMUNICATIONS 16.1(2003):17-39.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, J]'s Articles
[Zhao, M]'s Articles
[Zhao, K]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, J]'s Articles
[Zhao, M]'s Articles
[Zhao, K]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, J]'s Articles
[Zhao, M]'s Articles
[Zhao, K]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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