Discovering Significant Patterns in Multi-stream Sequences

Authors:
Robert Gwadera;Fabio Crestani
Affiliations:
-;-
Venue:
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Year:
2008

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Abstract

Discovering significant patterns in synchronized multi-stream sequences also known as multi-attribute event sequences (multi-sequences), is an important problem in many domains, including monitoring systems and information retrieval. In this paper we propose a new approach for assessing significance of multi-stream patterns in multi-attribute event sequences. In experiments on physiological multi-stream data we show applicability of our method.