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Potentials of Image Mining for business process management

  • 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
Name:Zimmermann, Alfred
DOI:https://doi.org/10.1007/978-3-319-39627-9_38
ISBN:978-3-319-39627-9
Erschienen in:Intelligent decision technologies 2016 : proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016). - Part II
Publisher:Springer
Place of publication:Cham
Editor:Ireneusz Czarnowski
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Tag:BPM; Image Mining; business process management; object recognition; picture; process analysis
Pagenumber:12
First Page:429
Last Page:440
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer