Article
Discovering Imprecise Temporal Associations
Computer Science and Engineering Faculty Publications
Document Type
Article
Publication Date
1-1-2003
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Disciplines
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.
DOI
10.1109/NAFIPS.2003.1226763
Citation Information
Thomas Sudkamp and Robert J. Hammell. "Discovering Imprecise Temporal Associations" (2003) p. 99 - 104 ISSN: 0-7803-7918-7 Available at: http://works.bepress.com/thomas_sudkamp/50/
Presented at the 22nd International Conference of the North American Fuzzy Information Processing Society, 2003, Chicago, IL.