Kapetanakis, Stelios, Petridis, Miltos, Ma, Jixin, Knight, Brian and Bacon, Liz (2011) Enhancing similarity measures and context provision for the intelligent monitoring of business processes in CBR-WIMS. In: 19th International Conference on Case Based Reasoning: Workshop 1 - Process-oriented Case-Based Reasoning (PO-CBR), 12-15 September 2011, Greenwich, London. (Unpublished)

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Abstract

Business processes have a key role in operating, controlling, and managing large modern organizations. Managing business processes presents a challenge related to the temporal complexity, uncertainty and large volume of data generated. This paper presents new developments and evaluation of an enhanced approach for the intelligent monitoring of business processes using Case-Based Reasoning in the CBR-WIMS platform. A short overview of the CBR-WIMS approach, based on the representation of business process cases as graphs, comprising process events and their temporal relationships is presented. The enhanced similarity measure based on the Maximum Common Sub-graph is presented and an evaluation of its effectiveness and efficiency is shown and discussed. The evaluation uses historical data from a real business process. The paper also discusses the use of a clustering technique in CBR-WIMS. This allows the semi-automatic tagging of cases and so provides enhanced explanation and context to users, increasing the confidence and usability of retrieved solutions and advice. A set of experiments are presented and discussed showing the added value that this enhancement brings to the intelligent monitoring and management of real business processes in an organisation.

Item Type:	Conference or Conference Paper (Paper)
Additional Information:	[1] This paper forms part of the Workshop "Process-oriented Case-Based Reasoning (PO-CBR)" given at ICCBR-2011 19th International Conference on Case Based Reasoning Greenwich, London, 12-15 September 2011
Uncontrolled Keywords:	case-base reasoning, business workflows, temporal reasoning, graph similarity, explanation
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences
Related URLs:	Publisher Organisation Organisation Organisation Organisation
Last Modified:	14 Nov 2019 11:35
URI:	http://gala.gre.ac.uk/id/eprint/6876

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