Decision Support Based on Process Mining

Author(s):  
Wil M.P. van der Aalst
Author(s):  
Adithya Thaduri ◽  
Stephen Mayowa Famurewa ◽  
Ajit Kumar Verma ◽  
Uday Kumar

2012 ◽  
Vol 52 (3) ◽  
pp. 685-697 ◽  
Author(s):  
Ying Liu ◽  
Hui Zhang ◽  
Chunping Li ◽  
Roger Jianxin Jiao

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3644
Author(s):  
Luige Vladareanu

Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication, including remote control, adaptive sensor networks, human-robot (H2R) interaction systems and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough sets-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision based DSS, sensory and robotic DSS, are highlighted in the field of advanced intelligent control.


2013 ◽  
Vol 46 (2) ◽  
pp. 52
Author(s):  
CHRISTOPHER NOTTE ◽  
NEIL SKOLNIK

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