DocumentCode :
721405
Title :
Knowledge acquisition in process intelligence
Author :
Ceravolo, Paolo ; Zavatarelli, Francesco
Author_Institution :
Comput. Sci. Dept., Univ. degli Studi di Milano, Crema, Italy
fYear :
2015
fDate :
17-19 May 2015
Firstpage :
218
Lastpage :
221
Abstract :
In this work we introduce a process intelligence (PI) methodology, based on analytical metrics collection, which has been used in the KITE. it process management framework and can support the evolution of analytics from descriptive to prescriptive and from prescriptive to predictive. In this paper we claim that this process aims to drive knowledge acquisition in a set of steps and also derive previously unknown knowledge. We also spotlight how it is important to rely on the notion of Extended Behaviour.
Keywords :
knowledge acquisition; KITE; PI methodology; analytical metrics collection; descriptive analytics; extended behaviour; knowledge acquisition; predictive analytics; prescriptive analytics; process intelligence; process management; Business; Data models; Knowledge acquisition; Mathematical model; Measurement; Predictive models; Resource description framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location :
Abu Dhabi
Type :
conf
DOI :
10.1109/ICTRC.2015.7156461
Filename :
7156461
Link To Document :
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