• 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