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pro vyhledávání: '"Sidorova, Natalia"'
The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms have been proposed that are able to model and analyze coevolving cases. I
Externí odkaz:
http://arxiv.org/abs/2304.05210
Akademický článek
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Publikováno v:
In Information Systems September 2023 118
Publikováno v:
Journal of Intelligent Information Systems, (2018), 1-33
Process Discovery is concerned with the automatic generation of a process model that describes a business process from execution data of that business process. Real life event logs can contain chaotic activities. These activities are independent of t
Externí odkaz:
http://arxiv.org/abs/1711.01287
Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the individu
Externí odkaz:
http://arxiv.org/abs/1706.02109
Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data from smart home environments has the potential to provide valuable in
Externí odkaz:
http://arxiv.org/abs/1705.09359
Publikováno v:
Studies in Computational Intelligence, 751 (2017) 83-104
Process mining techniques focus on extracting insight in processes from event logs. Process mining has the potential to provide valuable insights in (un)healthy habits and to contribute to ambient assisted living solutions when applied on data from s
Externí odkaz:
http://arxiv.org/abs/1705.10202
Publikováno v:
Information Processing Letters, 135 (2018), 1-8
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log. Although several measures have been proposed throughout the years, no research has been done to validate whether t
Externí odkaz:
http://arxiv.org/abs/1705.03303
Publikováno v:
Information Systems (2018), 1-31
Local Process Models (LPM) describe structured fragments of process behavior occurring in the context of less structured business processes. Traditional LPM discovery aims to generate a collection of process models that describe highly frequent behav
Externí odkaz:
http://arxiv.org/abs/1703.07116
Publikováno v:
Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), (2016) 1-8
Local Process Model (LPM) discovery is focused on the mining of a set of process models where each model describes the behavior represented in the event log only partially, i.e. subsets of possible events are taken into account to create so-called lo
Externí odkaz:
http://arxiv.org/abs/1610.02876