Techniques of reordering traces in the event logs in business process management tasks
DOI:
https://doi.org/10.20998/2079-0023.2018.21.08Keywords:
business process, process mining, process management, trace, event log, event attributes, business process resources, event time stampAbstract
The problem of formation of input data for construction of models of business processes by methods of the intellectual analysis of processes is studied. It is shown that event logs of real information systems do not always meet the requirements of the ordering of input data on processes, that is, a log can have one track with events from different business processes. The tasks of analysis of trace characteristics in the business process event log and the development of methods for forming process events information order tracks organized on the basis of the comparison of event attributes and on the basis of comparison with the invariants of the event attributes of the business process logs are organized in the processes of the log of events events of the process management information system. The first method generates business process log lines based on pairwise comparison of event attributes based on the criterion for maximizing the number of shared attribute values for this pair. The method sequentially selects events from the common path for several business processes, and after pairwise comparison of the attributes with the events of the traces of specific business processes, determines the belonging of the next event to the path of the corresponding process. When comparing, the end event of the business process is also detected. The second method generates log lines based on the comparison of the invariant of the event attributes and the event, which is analyzed by the criterion of maximizing the weight of the values of the common attributes. Unlike the first method, when choosing a new business process, an invariant is created in the form of a sum of weights of the values of the attributes of the log of the business process. The scales of attribute values reflect the number of occurrences of these values in the execution of the business process. This allows you to take into account the history of the implementation of the business process in implementing the method. In practical terms, both proposed methods allow the formation of a set of business process event logs that are executed in parallel in a format suitable for use of methods and technologies of the intellectual analysis of proces ses. The first method has a lower accuracy. However, its advantage is the ability to use in the presence of only a joint path of several business processes, without the previously known orderly traces log of each business process. The second method allows you to increase the accuracy of the highlighting of the event path for each business process. The disadvantage of this method is that it requires a priori formation of the invariant of the attributes of the business process events.References
Weske M. Business Process Management: Concepts, Languages, Architectures. Berlin, Springer-Verlag, 2012. 403 p.
Vom Brocke J., Rosemann M. Handbook on Business Process Management 1. Introduction, Methods, and Information Systems. Berlin, Springer-Verlag, 2015. 709 p.
Dumas M., Rosa M., Mendling J., Reijers H.A. Fundamentals of Business Process Management. Springer, 2013. 391 p.
Kumar A., Van Der Aalst W. M. P., Verbeek E. M. W. Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance? Journal of Management Information Systems. Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance? NY, USA, 2002, vol. 18(3), pp. 157–193.
Vanderfeesten I., Reijers H. A., Van Der Aalst W. M. P. ProductBased Workflow Support. Information Systems. 2011, vol. 36(2), pp. 517–535.
Van Der Aalst W. M. P. Business Process Management: A Comprehensive Survey. ISRN Software Engineering. 2013. pp. 1– 37.
Van Der Aalst W. M. P. Process Mining: Data Science in Action. Berlin, Springer-Verlag, 2016. 467 p.
Tax N., Sidorova N., Haakma R., Van Der Aalst W. M. P. Mining Process Model Descriptions of Daily Life through Event Abstraction. Studies in Computational Intelligence. 2017, pp. 83– 104.
Tax N., Sidorova N., Haakma R., Van Der Aalst W. M. P. Mining local process models. Journal of Innovation in Digital Ecosystems. 2016, vol.3(2), pp.183–196.
Bolt A., De Leoni M, Van der Aalst W.M.P. Scientific Workflows for Process Mining: Building Blocks, Scenarios, and Implementation. International Journal on Software Tools for Technology Transfer. 2016, vol. 18(6), pp.607–628.
Mannhardt F., Leoni de M., Reijers H.A., Van der Aalst W.M.P., Toussain P.J., From Low-Level Events to Activities - A PatternBased Approach. International Conference on Business Process Management (BPM 2016). Berlin, Springer-Verlag, 2016, vol. 9850. pp. 125–141.
Levykin V.М., Chalaya O.V. Model’ zhyznennogo tsykla znanyeemkogo biznes-protsessa [Model of lifecycle of knowledgeintensive business process]. Upravliaushie systemy i mashyny [Control systems and machines]. Kiev, «CSC», 2017, no. 1, pp. 68– 76.
Kalenkova A. A., Van Der Aalst W. M. P., Lomazova I. A., Rubin V. A. Process mining using BPMN: relating event logs and process models. Software & Systems Modeling. 2017, vol. 16. pp. 1019–1048.
Chalyi S. F., Levykin I.V. Method postroeniya interval’noy modeli protsessa resheniya zadachi v sostsve pretsedenta na osnove analiza zurnala sobytiy [Development of method forming process model solution tasks of a part case-based reasoning]. Naukovi pratsi VNTU [Scientific works of VNTU]. Vinnitsa, VNTU, 2016, no. 4, pp. 1-8.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2018 Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information TechnologiesAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).