DocumentCode
480479
Title
Event Relationship Analysis Based on Formal Concept Analysis
Author
Huilai, Zhi ; Zongtian, Liu
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Volume
5
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
1114
Lastpage
1116
Abstract
Research shows that event is the storage unit of human proposition memory. An event description model based on formal concept analysis is given, which concerns the relationship between event and its occur-time. Based on this model, association rule extraction based on intent reduction is put forward. A new intent reduction algorithm is given and shows better performance compared with the existing algorithm based on computing minimal cover.
Keywords
data mining; association rule extraction; event description model; event relationship analysis; formal concept analysis; human proposition memory; Artificial intelligence; Association rules; Calculus; Computer science; Degradation; Humans; Information retrieval; Joining processes; Lattices; Software engineering; Association extraction; Formal concept analysis; Intent reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.117
Filename
4723102
Link To Document