M. W. Barnett, Modeling & simulation in business process management, Gensym Corporation, 2003.

M. Wooldridge, An Introduction to MultiAgent Systems, 2009.

C. M. Macal and M. J. North, Tutorial on agent-based modeling and simulation, Proceedings of the 37th conference on Winter simulation. WSC '05, pp.2-15, 2005.
DOI : 10.1057/9781137453648.0004

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.8901

W. M. Van-der-aalst, B. F. Van-dongen, J. Herbst, L. Maruster, G. Schimm et al., Workflow mining: A survey of issues and approaches, Data & Knowledge Engineering, vol.47, issue.2, pp.237-267, 2003.
DOI : 10.1016/S0169-023X(03)00066-1

W. M. Van-der-aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, 2011.

T. Kohonen, Self-Organization and Associative Memory, of Springer Series in Information Sciences, 1984.
DOI : 10.1007/978-3-642-88163-3

L. Vojá?ek, J. Martinovi?, K. Slaninová, P. Drá?dilová, and J. Dvorsk´ydvorsk´y, Combined method for effective clustering based on parallel som and spectral clustering, pp.120-131, 2011.

R. Kannan, S. Vempala, and A. Vetta, On clusterings, Journal of the ACM, vol.51, issue.3, pp.497-515, 2004.
DOI : 10.1145/990308.990313

C. H. Ding, X. He, H. Zha, M. Gu, and H. D. Simon, A min-max cut algorithm for graph partitioning and data clustering, Proceedings 2001 IEEE International Conference on Data Mining, pp.107-114, 2001.
DOI : 10.1109/ICDM.2001.989507

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.1150

P. Drá?dilová, J. Martinovi?, and K. Slaninová, Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities, In: ADBIS Workshops, pp.285-294, 2012.
DOI : 10.1007/978-3-642-32518-2_27

D. Snoo and D. , Modeling planning processes with talmod, 2005.

N. Jennings, P. Faratin, T. Norman, P. O-'brien, and B. Odgers, Autonomous agents for business process management, Applied Artificial Intelligence, vol.14, issue.2, pp.145-189, 2000.
DOI : 10.1080/088395100117106

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.3139

C. Macal and J. North, Tutorial on agent-based modeling and simulation, Proceedings: 2005 Winter Simulation Conference, 2005.
DOI : 10.1057/9781137453648.0004

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.8901

A. Scheer and M. Nuttgens, ARIS Architecture and Reference Models for Business Process Management, Process Management, pp.376-389, 2000.
DOI : 10.1007/978-3-642-58663-7_38

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.2580

M. Spi?ák and . Roman, Financial market simulation based on intelligent agents -case study, Journal of Applied Economic Sciences VI, issue.17, pp.249-256, 2011.

M. E. Newman, Networks: An Introduction, 2010.
DOI : 10.1093/acprof:oso/9780199206650.001.0001

K. Slaninová, J. Martinovi?, P. Drá?dilová, D. Vym?tal, and R. Sperka, Analysis of agents' behavior in multiagent system, 24th European Modeling and Simulation Symposium, pp.169-175, 2012.

M. M. Deza and E. Deza, Dictionary of Distances, 2006.

K. L. Elmore and M. B. Richman, Euclidean Distance as a Similarity Metric for Principal Component Analysis, Monthly Weather Review, vol.129, issue.3, p.540, 2001.
DOI : 10.1175/1520-0493(2001)129<0540:EDAASM>2.0.CO;2

E. Pampalk, A. Rauber, and D. Merkl, Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps, Proceedings of the Intl Conf on Artificial Neural Networks, pp.871-876, 2002.
DOI : 10.1007/3-540-46084-5_141