Optimal top-k query evaluation for weighted business processes

Abstract

A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible execution flows of a BP, analysts are often interested in identifying flows that are "most important", according to some weight metric. This paper studies the following problem: given a specification of such a BP, a weighting function over BP execution flows, a query, and a number k , identify the k flows with the highest weight among those satisfying the query. We provide here, for the first time, a provably optimal algorithm for identifying the top-k weighted flows of a given BP, and use it for efficient top-k query evaluation.

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