TY - JOUR
T1 - Special issue on business process intelligence
AU - Burattin, Andrea
AU - De Weerdt, Jochen
AU - van Dongen, Boudewijn F.
AU - Claes, Jan
AU - Van Der Aalst, Wil
PY - 2020
Y1 - 2020
N2 - The business process intelligence (BPI) discipline refers to the development of data- and process-mining techniques to support business process management (BPM). BPI is a broad area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that combine process science and data science. The uptake of process mining shows that BPI is of increasing relevance for industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization.
AB - The business process intelligence (BPI) discipline refers to the development of data- and process-mining techniques to support business process management (BPM). BPI is a broad area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that combine process science and data science. The uptake of process mining shows that BPI is of increasing relevance for industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization.
U2 - 10.1007/s00607-020-00856-z
DO - 10.1007/s00607-020-00856-z
M3 - Editorial
JO - Computing
JF - Computing
SN - 0010-485X
ER -