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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.117
