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We consider an environment where a subscription system continuously evaluates pattern-based requests over unbounded sequential data. We propose an extension of the traditional pattern-matching techniques for efficiently handling large sets of such continuous queries. This extension relies on the introduction of variables in patterns in order to augment their expressivity. Based on this extended class of parameterized queries, our main contributions are threefold. First, we define a refinementdoi:10.1109/ssdbm.2006.37 dblp:conf/ssdbm/MouzaRS06 fatcat:adjfel7z7bf3hhyxuzetplt5bu