A Context Driven Approach for Workflow Mining

Yaman, Fusun; Oates, Tim; Burstein, Mark H.

A Context Driven Approach for Workflow Mining

Fusun Yaman, Tim Oates, Mark H. Burstein

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Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1798-1802.

Abstract

Existing work on workflow mining ignores the dataflow aspect of the problem. This is not acceptable for service-oriented applications that use Web services with typed inputs and outputs. We propose a novel algorithm WIT (Workflow Inference from Traces) which identifies the context similarities of the observed actions based on the dataflow and uses model merging techniques to generalize the control flow and the dataflow simultaneously. We identify the class of workflows that WIT can learn correctly. We implemented WIT and tested it on a real world medical scheduling domain where WIT was able to find a good approximation of the target workflow.Fusun Yaman, Tim Oates, Mark Burstein

Fusun Yaman, Tim Oates, and Mark H. Burstein. 2009. A Context Driven Approach for Workflow Mining. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09. IJCAI, 1798–1802. https://ijcai.org/proceedings/2009/299

@inproceedings{ijcai2009p299,
  title     = {A Context Driven Approach for Workflow Mining},
  author    = {Yaman, Fusun and Oates, Tim and Burstein, Mark H.},
  booktitle = {Proceedings of the Twenty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-09}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Hiroaki Kitano},
  pages     = {1798--1802},
  year      = {2009},
  url       = {https://ijcai.org/proceedings/2009/299},
}

TY  - CPAPER
TI  - A Context Driven Approach for Workflow Mining
AU  - Yaman, Fusun
AU  - Oates, Tim
AU  - Burstein, Mark H.
T2  - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2009
SP  - 1798
EP  - 1802
UR  - https://ijcai.org/proceedings/2009/299
ER  -