Titlebook: Data-Driven Process Discovery and Analysis; First International Karl Aberer,Ernesto Damiani,Tharam Dillon Conference proceedings 2012 IFIP

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Concepts, Results, and Applicationsauditors to distinguish between different process variants within a timeframe, thereby visualizing the process evolution. The main insight to cluster entries is the “distance” between activities, i.e. the number of steps between an activity pair. By observing non-transient modifications on the dista

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Donald J. Polzella,Audrey M. Kunarstanding of the inherent relationships existing between processes and data, however, is still missing. In the PHILharmonicFlows project we figured out that process support often requires .. This means, data must be manageable in terms of object types comprising object attributes and relations to ot

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Andrea Király,Andrea Kárpáti,Péter Tasnádich models of business processes. This paper presents an ontology, named K-CRIO, that allows the description of a specific kind of business processes: those that are dedicated to the design of a product. This ontology draws from organizational theories. The contribution of this paper is twofold. On t

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Mediocre

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Yan A. Wang,Mark Thachuk,Jean Maruanihers, engineers, etc.), the so called “knowledge workers”. In this paper we propose the MailOfMine approach, to automatically build, on top of a collection of email messages, a set of workflow models that represent the artful processes laying behind the knowledge workers activities.

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Donald J. Polzella,Audrey M. Kuna. Built software solution has been optimized in terms of memory usage and computation time as well as the impact of all modifications made to the whole process of rules discovery The process of rule discovery is illustrated on a real database containing transactions of customers of the e-shop Delicatessen Alma24.

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