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2016 | OriginalPaper | Chapter

Potentials of Image Mining for Business Process Management

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

Published in: Intelligent Decision Technologies 2016

Publisher: 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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Metadata
Title
Potentials of Image Mining for Business Process Management
Authors
Rainer Schmidt
Michael Möhring
Alfred Zimmermann
Ralf-Christian Härting
Barbara Keller
Copyright Year
2016
Book
Intelligent Decision Technologies 2016

Print ISBN: 978-3-319-39626-2

Electronic ISBN: 978-3-319-39627-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39627-9_38

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