Detail publikace

Business Process Simulation for Predictions

POSPÍŠIL, M. HRUŠKA, T.

Originální název

Business Process Simulation for Predictions

Anglický název

Business Process Simulation for Predictions

Jazyk

en

Originální abstrakt

Simulation can be used for analysis, prediction and optimization of business processes. But models often differ from reality. Data mining techniques can be used for improving these models based on observations of process and resource behavior from detailed event logs.  More accurate process models can be used not only for analysis and optimization, but for prediction and recommendation. This paper focuses on decision mining and the duration of tasks in conjunction with personal performance based on case data, workload, and other factors. Some existing ideas are an improvement and others are new. Part of the research was validated on real data.

Anglický abstrakt

Simulation can be used for analysis, prediction and optimization of business processes. But models often differ from reality. Data mining techniques can be used for improving these models based on observations of process and resource behavior from detailed event logs.  More accurate process models can be used not only for analysis and optimization, but for prediction and recommendation. This paper focuses on decision mining and the duration of tasks in conjunction with personal performance based on case data, workload, and other factors. Some existing ideas are an improvement and others are new. Part of the research was validated on real data.

Dokumenty

BibTex


@inproceedings{BUT96975,
  author="Milan {Pospíšil} and Tomáš {Hruška}",
  title="Business Process Simulation for Predictions",
  annote="Simulation can be used for analysis, prediction and optimization of business
processes. But models often differ from reality. Data mining techniques can be
used for improving these models based on observations of process and resource
behavior from detailed event logs.  More accurate process models can be used not
only for analysis and optimization, but for prediction and recommendation. This
paper focuses on decision mining and the duration of tasks in conjunction with
personal performance based on case data, workload, and other factors. Some
existing ideas are an improvement and others are new. Part of the research was
validated on real data.",
  address="The International Academy, Research and Industry Association",
  booktitle="BUSTECH 2012 : The Second International Conference on Business Intelligence and Technology",
  chapter="96975",
  edition="NEUVEDEN",
  howpublished="print",
  institution="The International Academy, Research and Industry Association",
  year="2012",
  month="may",
  pages="14--18",
  publisher="The International Academy, Research and Industry Association",
  type="conference paper"
}