AUTHORS: Jarosław Koszela

Download as PDF

ABSTRACT: The article presents method of business processes similarity evaluation utilizing genetic tag sequences as a linearity definition of business processes. This method is an element of BI systems type for business processes analysis and process warehouse. This method describe transformation of business process to “genetic” tags sequences and evaluation of similarity measures for genetic sequences as a part of process mining and warehouse of processes.

KEYWORDS: business process, warehouse of processes, process mining, similarity of processes method, genetic tagging

REFERENCES:

[1] M. Weske, Business Process Management. Concepts, Languages, Architectures, Berlin, Springer-Verlag, 2007.

[2] OMG, BPMN - standard documents,

[Online] http://www.omg.org/spec/BPMN/2.0/, 2011.

[3] A. Arsanjani, N. Bharade, M. Borgenstrand, P. Schume, J. K. Wood i V. Zheltonogov, Business Process Management Design Guide. Using IBM Business Process Manager, USA, IBM Corporation, 2015.

[4] WFMC, XML Process Definition Language – standard XPDL documents,

[Online] http://www.xpdl.org/ (2012)

[5] W. van der Aalst, K. van Hee, Workflow Management. Models, Methods, and Systems, The MIT Press Cambridge, Massachusetts London, 2002.

[6] WFMC, Terminology & Glossary - WFMCTC-1011,

[Online], http://wfmc.org/docs/TC- 1011_term_glossary_v3.pdf, 1999.

[7] G. Bliźniuk, M. Chmielewski, T. Gzik, J. Koszela, Warehouse of processes, Studia Informatica, Vol. 33-2A, 2012, pp. 111-127.

[8] P. Zadora, Hurtownie danych w organizacji inteligentnej (Akademia Ekonomiczna, Katowice, 2004)

[9] W. van der Aalst, Process Mining, SpringerVerlag, Berlin, 2016.

[10] B. Gawin, Systemy informatyczne w zarządzaniu procesami Workflow, PWN, Warszawa, 2015.

[11] R. Moen, C. Norman, Evolution of the PDCA Cycle, 2009

[12] A. Sidnev, J. Tuominen i B. Krassi, Business Process Modeling and Simulation, Otamedia Oy, Espoo, 2005.

[13] Bizagi,

[Online] http://www.bizagi.com, 2017.

[14] WFMC,

[Online] http://www.wfmc.org, 2017.

[15] XES,

[Online] http://www.xes-standard.org, 2017.

[16] MXML-Mining eXtensible Markup Language,

[Online] http://www.processmining.org/logs/mxml, 2003.

[17] M. Kiedrowicz, Zarz¹dzanie informacjami wrażliwymi - wybrane aspekty organizacyjne, prawne i techniczne ochrony informacji niejawnych, WAT, Warszawa, 2015.

[18] J. Koszela, Business process modeling for processing classified documents using RFID technology in 20th International Conference on Circuits, Systems, Communications and Computers, Vol. 76, 2016.

[19] R. Waszkowski, M. Kiedrowicz, T. Nowicki, Z. Wesołowski, and K. Worwa, Business processes in the RFID-equipped restricted access administrative office, in 20th International Conference on Circuits, Systems, Communications and Computers, Vol. 76, 2016.

[20] M. Kiedrowicz, Uogólniony model danych w rozproszonych rejestrach ewidencyjnych, Roczniki Kolegium Analiz Ekonomicznych, Vol. 33, 2014, pp. 209-234.

[21] M. Kiedrowicz, The importance of an integration platform within the organisation, Zeszyty Naukowe, Vol. 46, 2014, pp.83-94.

[22] M. Kiedrowicz, Dostęp do publicznych zasobów danych - Big data czy Big brother, (in:) INTERNET. Publiczne bazy danych i Big data, (ed.) G. Szpor, 2015, pp. 15-39.

[23] M. Kiedrowicz, R. Waszkowski, Business rules automation standards in business process management systems, (in:) Information Management in Practice, (eds) B.F. Kubiak and J. Maślankowski, 2015, pp. 187-200.

[24] M. Kiedrowicz, T. Nowicki, R. Waszkowski, Z. Wesołowski, and K. Worwa, Software simulator for property investigation of document management system with RFID tags, 20th International Conference on Circuits, Systems, Communications and Computers, MATEC Web of Conferences, Cedex A: E D P Sciences, 2016, Vol. 76.

[25] M. Kiedrowicz, J. Koszela, Business processes modelling for the processing of classified documents using RFID technology, Collegium of Economic Analysis Annals, Vol. 42, 2016, pp: 53-66.

[26] M. Kiedrowicz, T. Nowicki, R. Waszkowski, Business process data flow between automated and human tasks, 3rd International Conference on Social Science (ICSS 2016), 2016, pp. 471- 477.

[27] Dijkmana R., Similarity of business process models: Metrics and evaluation, Information Systems, Elsevier, 36, 2011.

[28] M. Kiedrowicz, J. Koszela, Secret office model for the processing of classified documents using RFID technology, Collegium of Economic Analysis Annals, Vol. 42, 2016, pp. 67-81.

[29] M. Ehrig, A. Koschmider, A. Oberweis, Measuring Similarity between Semantic Business Process Models, Conferences in Research and Practice in Information, 67, Australian Computer Society, 2007.

[30] R. Dijkman, M. Dumas, L. García-Bañuelos, Business Process Graphs: Similarity Search and Matching, Graph data management: techniques and applications, IGI Global, 2012.

[31] Neo4j,

[Online] https://neo4j.com, 2017.

[32] I. Robinson, J. Webber, E. Eifrem, Graph Databases, O’Reilly Media, Sebastopol, 2015.

[33] W. van der Aalst & others, Process Mining Manifesto, IEEE Task Force on Process Mining,

[Online] http://www.win.tue.nl/ieeetfpm/downloads/Pro cess%20Mining%20Manifesto.pdf, 2017.

WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 14, 2017, Art. #23, pp. 206-214


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0