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2016 | OriginalPaper | Buchkapitel

Potentials of Image Mining for Business Process Management

verfasst von : Rainer Schmidt, Michael Möhring, Alfred Zimmermann, Ralf-Christian Härting, Barbara Keller

Erschienen in: Intelligent Decision Technologies 2016

Verlag: Springer International Publishing

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Abstract

An enormous amount of data in the context of business processes is stored as images. They contain valuable information for business process management. Up to now this data had to be integrated manually into the business process. By advances of capturing it is possible to extract information from an increasing number of images. Therefore, we systematically investigate the potentials of Image Mining for business process management by a literature research and an in-depth analysis of the business process lifecycle. As a first step to evaluate our research, we developed a prototype for recovering process model information from drawings using Rapidminer.

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Metadaten
Titel
Potentials of Image Mining for Business Process Management
verfasst von
Rainer Schmidt
Michael Möhring
Alfred Zimmermann
Ralf-Christian Härting
Barbara Keller
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-39627-9_38