Browsing by Author "Chaisiri, Sivadon"
Now showing items 1-5 of 9
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A workflow execution platform for collaborative artifact-centric business processes
(Springer Verlag, 2014)To execute an artifact-centric process model, current workflow execution approaches require it to be converted to some existing executable language (e.g., BPEL) in order to run on a workflow system. We argue that the ... -
Bring-Your-Own-Application (BYOA): Optimal stochastic application migration in mobile cloud computing
(IEEE, 2015)The increasing popularity of using mobile devices in a work context, has led to the need to be able to support more powerful computation. Users no longer remain in an office or at home to conduct their activities, preferring ... -
Efficient Process Model Discovery Using Maximal Pattern Mining
(Springer International Publishing, 2015)In recent years, process mining has become one of the most important and promising areas of research in the field of business process management as it helps businesses understand, analyze, and improve their business ... -
From reactionary to proactive security: context-aware security policy management and optimization under uncertainty
(IEEE Computer Society, 2016)At the core of its nature, security is a highly contextual and dynamic challenge. However, current security policy approaches are usually static, and slow to adapt to ever-changing requirements, let alone catching up with ... -
A process mining technique using pattern recognition
(CAiSE Forum, 2015)Several works have proposed process mining techniques to discover process models fromevent logs. With the existing works, mined models can be built based on analyzing the relationship between any two events seen in event ...
Co-authors for Sivadon Chaisiri
Supervised by Sivadon Chaisiri
Showing up to 5 theses - most recently added to Research Commons first.
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Secure Storage Guideline for Android Devices
(University of Waikato, 2016)The sudden surge in the mobile market has given developers the ability to create applications that reach millions of potential users. Many applications store sensitive data, which makes them potential targets for malicious ...
