TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Schmidt, Rainer
A1  - Möhring, Michael
A1  - Zimmermann, Alfred
A1  - Härting, Ralf-Christian
A1  - Keller, Barbara
ED  - Czarnowski, Ireneusz
T1  - Potentials of Image Mining for business process management
T2  - Intelligent decision technologies 2016 : proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016). - Part II
N2  - 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.
KW  - Image Mining
KW  - BPM
KW  - business process management
KW  - object recognition
KW  - picture
KW  - process analysis
Y1  - 2016
SN  - 978-3-319-39627-9
SB  - 978-3-319-39627-9
U6  - https://doi.org/10.1007/978-3-319-39627-9_38
DO  - https://doi.org/10.1007/978-3-319-39627-9_38
SP  - 429
EP  - 440
S1  - 12
PB  - Springer
CY  - Cham
ER  -