Detail výsledku
Business Process Simulation for Predictions
Hruška Tomáš, prof. Ing., CSc., CIS ‒ Kancelář ředitele (CIS), UIFS (FIT)
Simulation can beused for analysis, prediction and optimization of business processes. Butmodels often differ from reality. Data mining techniques can be used forimproving these models based on observations of process and resource behaviorfrom detailed event logs. More accurateprocess models can be used not only for analysis and optimization, but forprediction and recommendation. This paper focuses on decision mining and theduration of tasks in conjunction with personal performance based on case data,workload, and other factors. Some existing ideas are an improvement and othersare new. Part of the research was validated on real data.
business processsimulation; business process intelligence; data mining; process mining;prediction; optimization; recomendation
@inproceedings{BUT96975,
author="Milan {Pospíšil} and Tomáš {Hruška}",
title="Business Process Simulation for Predictions",
booktitle="BUSTECH 2012 : The Second International Conference on Business Intelligence and Technology",
year="2012",
pages="14--18",
publisher="The International Academy, Research and Industry Association",
address="Nice",
isbn="978-1-61208-223-3"
}