The purpose of this work is to evaluate the applicability of the Process Mining methodology for the analysis of life cycle models of information resources. ProM software was used with the Inductive visual miner plugin. The source data was a database of the Seattle Public library hosted on the site Kaggle.com. Even from a fragment of the transaction history of library information resources, it was possible to recover the lifecycle model. The result confirms that it is possible to build and analyze models of the life cycle of information resources based on the event history logs.
CITATION STYLE
Dorrer, M. G., Popov, A. A., & Bartuzanova, A. N. (2020). Analysis of the life cycle of a library information resource using Process Mining technology. In Journal of Physics: Conference Series (Vol. 1582). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1582/1/012024
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