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Evaluation of the Dynamic Construct Competition Miner for an eHealth System

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Business Information Systems (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 208))

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Abstract

Business processes of some domains are highly dynamic and increasingly complex due to their dependencies on a multitude of services provided by various providers. The quality of services directly impacts the business process’s efficiency. A first prerequisite for any optimization initiative requires a better understanding of the deployed business processes. However, the business processes are either not documented at all or are only poorly documented. Since the actual behaviour of the business processes and underlying services can change over time it is required to detect the dynamically changing behaviour in order to carry out correct analyses. This paper presents and evaluates the integration of the Dynamic Construct Competition Miner (DCCM) as process monitor in the TIMBUS architecture. The DCCM discovers business processes and recognizes changes directly from an event stream at run-time. The evaluation is carried out in the context of an industrial use-case from the eHealth domain. We will describe the key aspects of the use-case and the DCCM as well as present the relevant evaluation results.

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Notes

  1. 1.

    DrugFusion downloads adverse events report published by United States Food and Drug Administration (http://www.fda.gov) every quarter.

  2. 2.

    For sequence [EDE] both relations are true: E appears before D and D appears before E.

  3. 3.

    Both relations “appears before first” and “appears before” are always true for activities within the loop, e.g. for both sequences [EDE] (normal loop) and [EDED] (loop over sequence) E “appears before” D and vice versa.

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Acknowledgments

Project partially funded by the European Commission under the 7th Framework Programme for research and technological development and demonstration activities under grant agreement 269940, TIMBUS project (http://timbusproject.net/).

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Correspondence to David Redlich .

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Redlich, D., Galushka, M., Molka, T., Gilani, W., Blair, G., Rashid, A. (2015). Evaluation of the Dynamic Construct Competition Miner for an eHealth System. In: Abramowicz, W. (eds) Business Information Systems. BIS 2015. Lecture Notes in Business Information Processing, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-319-19027-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-19027-3_10

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