On the distinction between truthful, invisible, false and unobserved events an event existence classification framework and the impact on business process analytics …
F Caron, J Vanthienen, B Baesens - 2012 - aisel.aisnet.org
F Caron, J Vanthienen, B Baesens
2012•aisel.aisnet.orgIn this paper we present an event existence classification framework based on five business
criteria. As a result we are able to distinguish thirteen event types distributed over four
categories, ie truthful, invisible, false and unobserved events. Currently, several of these
event types are not commonly dealt with in business process analytics research. Based on
the proposed framework we situate the different business process analytics research areas
and indicate the potential issues for each field. A real world case will be elaborated to …
criteria. As a result we are able to distinguish thirteen event types distributed over four
categories, ie truthful, invisible, false and unobserved events. Currently, several of these
event types are not commonly dealt with in business process analytics research. Based on
the proposed framework we situate the different business process analytics research areas
and indicate the potential issues for each field. A real world case will be elaborated to …
Abstract
In this paper we present an event existence classification framework based on five business criteria. As a result we are able to distinguish thirteen event types distributed over four categories, ie truthful, invisible, false and unobserved events. Currently, several of these event types are not commonly dealt with in business process analytics research. Based on the proposed framework we situate the different business process analytics research areas and indicate the potential issues for each field. A real world case will be elaborated to demonstrate the relevance of the event classification framework.
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