Guest Talk: Novel classes of process analytics: Mining resourcing rules, task post-conditions and some applications
Prof. Aditya Ghose
Date/Time: 08.06.2016, 12:00
New kinds of process analytics can lead to insights into optimal process provisioning, and into process impact, which in turn can support novel conceptions of process monitoring and adaptation. In this talk, I will outline recent work (a paper that will appear in CAISE-16) on how execution histories that record the process context, design, resourcing and process performance can be mined for rules that suggest the optimal set of resources for a process instance in a given context. I will also describe how event logs can be mined for process task post-conditions (a paper that appeared in ER-15). Armed with these post-conditions, I will show how we can perform semantic process monitoring and adaptation.
Aditya Ghose is a Professor of Computer Science at the University of Wollongong, where he heads the Decision Systems Lab and co-directs the Centre for Oncology Informatics. He holds a PhD and MSc in Computing Science from the University of Alberta (he spent parts of his candidature at the University of Illinois at Urbana-Champaign and the University of Tokyo) and a Bachelor of Computer Science and Engineering from Jadavpur University. Prof. Ghose is President of the Service Science Society of Australia and a Fellow of the Institution of Engineers (Australia). Prof. Ghose works in business process management, service science, agent systems and formal knowledge representation and the application of these in clinical informatics. He works closely with IBM Research, Xerox Research, Infosys Labs and a variety of Australian companies (including startups from his research group). In his spare time, Prof. Ghose enjoys exploring how computational techniques can lead to a better understanding of the history of human civilization.
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