DocumentCode :
3678475
Title :
Event and Strategy Analytics
Author :
Jin Song Dong;Jun Sun;Yang Liu;Yuan Fang Li;Jing Sun;Ling Shi
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2015
Firstpage :
4
Lastpage :
6
Abstract :
Model checking has been pervasive and successful in finding bugs in hardware and software systems, including real-time and probabilistic systems. Applying model checking to decision making is relative new and has an excellent potential to be compliment to data analytics and other Artificial Intelligent (AI) or Operational Research (OR) based decision making techniques. Our last 8 years research has focused on the development of PAT (Process Analysis Toolkit) [18] whichsupports modelling languages that combine the expressiveness of event, state, time and probability based modeling techniques to which model checking can be directly applied. The next direction for PAT is to move from verification to analytics, we call it "Event Analytics" with a special focus on "Strategy Analytics".
Keywords :
"Yttrium","Sun","Model checking","Probabilistic logic","Decision making","Artificial intelligence","Data mining"
Publisher :
ieee
Conference_Titel :
Theoretical Aspects of Software Engineering (TASE), 2015 International Symposium on
Type :
conf
DOI :
10.1109/TASE.2015.28
Filename :
7307727
Link To Document :
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