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
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;
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
DOI :
10.1109/NAFIPS.2003.1226763
