DocumentCode
1977934
Title
Discovering imprecise temporal associations
Author
Sudkamp, Thomas ; Hammell, Robert J., II
Author_Institution
Dept. of Comput. Sci. & Comput. Eng., Wright State Univ., Dayton, OH, USA
fYear
2003
fDate
24-26 July 2003
Firstpage
99
Lastpage
104
Abstract
This paper examines the discovery of associations defined by fuzzy temporal predicates in time-tagged information from multiple distributed data sources. The use of fuzzy predicates provides the ability to represent and analyze imprecise temporal relation-ships, including temporal ordering and duration. In particular, we are concerned with the adaptability of common data mining strategies to relations defined by fuzzy temporal predicates.
Keywords
data mining; fuzzy set theory; temporal logic; data mining; fuzzy temporal predicates; multiple distributed data sources; temporal association discovery; temporal relationships; time tagged information; Algorithm design and analysis; Computer science; Data analysis; Data engineering; Data mining; Databases; Distributed computing; Fuzzy sets; Information analysis; Marine vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226763
Filename
1226763
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