Uncertainty in sequential pattern mining

Authors:
Muhammad Muzammal;Rajeev Raman
Affiliations:
Department of Computer Science, University of Leicester, UK;Department of Computer Science, University of Leicester, UK
Venue:
BNCOD'10 Proceedings of the 27th British national conference on Data Security and Security Data
Year:
2010

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Abstract

We study uncertainty models in sequential pattern mining. We discuss some kinds of uncertainties that could exist in data, and show how these uncertainties can be modelled using probabilistic databases. We then obtain possible world semantics for them and show how frequent sequences could be mined using the probabilistic frequentness measure.