A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs

M De Leoni, WMP Van Der Aalst, M Dees - Information Systems, 2016 - Elsevier
Process mining can be viewed as the missing link between model-based process analysis
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …

A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs

J De Weerdt, M De Backer, J Vanthienen, B Baesens - Information systems, 2012 - Elsevier
Process mining is the research domain that is dedicated to the a posteriori analysis of
business process executions. The techniques developed within this research area are …

Abstractions in process mining: A taxonomy of patterns

RP Jagadeesh Chandra Bose… - … conference on business …, 2009 - Springer
Process mining refers to the extraction of process models from event logs. Real-life
processes tend to be less structured and more flexible. Traditional process mining …

Bridging abstraction layers in process mining

T Baier, J Mendling, M Weske - Information Systems, 2014 - Elsevier
While the maturity of process mining algorithms increases and more process mining tools
enter the market, process mining projects still face the problem of different levels of …

BPMN Miner: Automated discovery of BPMN process models with hierarchical structure

R Conforti, M Dumas, L García-Bañuelos, M La Rosa - Information Systems, 2016 - Elsevier
Existing techniques for automated discovery of process models from event logs generally
produce flat process models. Thus, they fail to exploit the notion of subprocess as well as …

Mining association rules to support resource allocation in business process management

Z Huang, X Lu, H Duan - Expert Systems with Applications, 2011 - Elsevier
Resource allocation is of great importance for business process management. In business
process execution, a set of rules that specify resource allocation is always implied. Although …

[HTML][HTML] Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users

K Böhmer, S Rinderle-Ma - Information Systems, 2020 - Elsevier
Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one
side, security breaches and fraudulent behavior and on the other side desired deviations …

Using multi-level information in hierarchical process mining: Balancing behavioural quality and model complexity

SJJ Leemans, K Goel… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Process mining techniques aim to derive knowledge of the execution of processes, by
means of automated analysis of behaviour recorded in event logs. A well-known challenge …

Mining context-dependent and interactive business process maps using execution patterns

J Li, RPJC Bose, WMP van der Aalst - … , NJ, USA, September 13-15, 2010 …, 2011 - Springer
Process mining techniques attempt to extract non-trivial knowledge and interesting insights
from event logs. Process models can be seen as the “maps” describing the operational …

Mining predictive process models out of low-level multidimensional logs

F Folino, M Guarascio, L Pontieri - … , June 16-20, 2014. Proceedings 26, 2014 - Springer
Process Mining techniques have been gaining attention, especially as concerns the
discovery of predictive process models. Traditionally focused on workflows, they usually …