Pattern Matching over Multi-attribute Data Streams

Authors:
Lilian Harada
Affiliations:
-
Venue:
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Year:
2002

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Abstract

Recently a growing number of applications monitor the physical world by detecting some patterns and trends of interest. In this paper we present two algorithms that generalize string-matching algorithms for detecting patterns with complex predicates over data streams having multiple categorical and quantitative attributes. Implementation and evaluation of the algorithms show their efficiency when compared to the naive approach.