Title

Discovering Imprecise Temporal Associations

Document Type

Article

Publication Date

2003

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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.

Comments

Presented at the 22nd International Conference of the North American Fuzzy Information Processing Society, 2003, Chicago, IL.

DOI

10.1109/NAFIPS.2003.1226763