Publication detail

Business Process Simulation for Predictions

POSPÍŠIL, M. HRUŠKA, T.

Original Title

Business Process Simulation for Predictions

English Title

Business Process Simulation for Predictions

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

business process simulation; business process intelligence; data mining; process mining; prediction; optimization; recomendation

RIV year

2012

Released

03.05.2012

Publisher

The International Academy, Research and Industry Association

Location

Nice

ISBN

978-1-61208-223-3

Book

BUSTECH 2012 : The Second International Conference on Business Intelligence and Technology

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

14

Pages to

18

Pages count

4

Documents

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"
}