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Process mining using BPMN: relating event logs and process models

Anna A. Kalenkova, Wil M. P. van der Aalst, Irina A. Lomazova, Vladimir A. Rubin
2015 Journal of Software and Systems Modeling  
These approaches include process mining techniques used to discover process models from event logs, find log and model deviations, and analyze performance characteristics of processes.  ...  The BPMN 2.0 (Business Process Model and Notation) standard is widely used and allows to build conventional and understandable process models.  ...  Each branch node has outgoing edges and is considered to be an operator node, Table 2 Process tree to BPMN conversion Process mining using BPMN: relating event logs and process models Transformation  ... 
doi:10.1007/s10270-015-0502-0 fatcat:k4diwj2rovftzgyqlqt33vrlqm

Process mining using BPMN

Anna A. Kalenkova, Wil M. P. van der Aalst, Irina A. Lomazova, Vladimir A. Rubin
2016 Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems - MODELS '16  
These approaches include process mining techniques used to discover process models from event logs, find log and model deviations, and analyze performance characteristics of processes.  ...  The BPMN 2.0 (Business Process Model and Notation) standard is widely used and allows to build conventional and understandable process models.  ...  Each branch node has outgoing edges and is considered to be an operator node, Table 2 Process tree to BPMN conversion Process mining using BPMN: relating event logs and process models Transformation  ... 
doi:10.1145/2976767.2987688 fatcat:bpwfjqxavnbq5mbeqm2bsjm7oa

Relating Process Models and Event Logs - 21 Conformance Propositions

Wil M. P. van der Aalst
2018 Applications and Theory of Petri Nets  
Process mining sheds new light on the relationship between process models and real-life processes. Process discovery can be used to learn process models from event logs.  ...  These propositions are put into a broader frame of Log-to-Log (L2L), Model-to-Model (M2M), and Log-to-Model (L2M) comparisons.  ...  Introduction In process mining, there are two main types of artifacts: event logs and process models [1] .  ... 
dblp:conf/apn/Aalst18a fatcat:zpqhfdbbf5fatf2ci6aqr5c2vq

Modeling of processes with use of process mining techniques

Edyta Brzychczy, Aneta Napieraj, Marta Sukiennik
2018 Scientific Papers of Silesian University of Technology. Organization and Management Series  
One of the process mining tasks is process model discovery from event logs gathered in informatics systems in enterprise.  ...  In the article practical example of process model discovery with ProM software is given with use of real event log from Volvo IT Belgium.  ...  Process discovery techniques use an event log and create a model without using any a-priori information [7] . This analysis is based only on informatics systems data.  ... 
doi:10.29119/1641-3466.2018.116.2 fatcat:cnl7q5jcsjajrn3zt7twg2uwui

BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models

Raffaele Conforti, Adriano Augusto, Marcello La Rosa, Marlon Dumas, Luciano García-Bañuelos
2016 International Conference on Business Process Management  
Given an event log in XES format, the tool partitions it into sub-logs (one per subprocess) and discovers a BPMN process model from each sub-log using existing techniques for discovering BPMN process models  ...  We present BPMN Miner 2.0: a tool that extracts hierarchical and block-structured BPMN process models from event logs.  ...  The accuracy and scalability of BPMN Miner have been extensively evaluated using over 600 event logs, including both artificial and real-life event logs.  ... 
dblp:conf/bpm/ConfortiARDG16 fatcat:qtimbzradnafrmpgwrjavhg6ai

Service Mining: Using Process Mining to Discover, Check, and Improve Service Behavior

Wil van der Aalst
2013 IEEE Transactions on Services Computing  
The relation between the event log and the model established in Stage 2 is used to extend the model (e.g., timestamps of associated events are used to estimate waiting times for activities).  ...  Process mining techniques can be applied to logs at levels , and . In principle, it is also possible to apply process mining using event logs at level or .  ... 
doi:10.1109/tsc.2012.25 fatcat:rjwv6jo6eretfkwnpv3vpc3ehu

Inter-Paradigm Translation of Process Models using Simulation and Mining [article]

Lars Ackermann, Stefan Schönig, Stefan Jablonski
2016 arXiv   pre-print
Process modeling is usually done using imperative modeling languages like BPMN or EPCs.  ...  Our approach is based upon well-established methodologies in process management for process model simulation and process mining without requiring the specification of model transformation rules.  ...  Furthermore, we briefly discuss issues related to the expressiveness of the particular modeling languages and of event log used as a transfer medium.  ... 
arXiv:1603.06110v1 fatcat:q57butmo7vapvpafkrjdippopy

Using Free-Choice Nets for Process Mining and Business Process Management

Wil M. P. van der Aalst
2021 16th Conference on Computer Science and Intelligence Systems  
Also, hand-made process models using languages like BPMN tend to be free-choice because choice and synchronization are separated in different modeling elements.  ...  Although the majority of process models used in practice are inherently free-choice, most users (even modeling experts) are not aware of free-choice net theory and associated analysis techniques.  ...  Thus far concepts such as confusion-free, lucency, and home clusters have not been exploited in process mining using traditional event logs.  ... 
doi:10.18154/rwth-2022-01983 fatcat:w3pvfdfu7jc3deu4ib37qluxu4

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

Raffaele Conforti, Marlon Dumas, Luciano García-Bañuelos, Marcello La Rosa
2016 Information Systems  
Given this hierarchy and the projected logs associated to each node in the hierarchy, parent process and subprocess models are then discovered using existing techniques for flat process model discovery  ...  Existing techniques for automated discovery of process models from event logs generally produce flat process models.  ...  Table 1 : 1 Characteristics of the event logs used for the validation. Table 2 : 2 Models' accuracy and complexity before and after applying BPMN Miner. Prob.  ... 
doi:10.1016/j.is.2015.07.004 fatcat:m4szcdpherarpj3ew7dfyeeqte

Challenges and Use Cases of Process Discovery in Process Mining

Muhammad Faizan
2020 International Journal of Advanced Trends in Computer Science and Engineering  
This paper presents the insights of process mining, highlighting the possible approaches used to gather and analyses the data using feasible method in process mining including real discovery processes.  ...  Process mining allows organizations to take advantage of the information within the systems, but can also be used to check process conformance, predict execution challenges, and identify bottlenecks.  ...  3 The basic flow of Process Mining Figure 4 : 4 Process Mining tools spectrum Table 1 : 1 Process Mining use cases regarding event logs:  A case is made up of events such that each event relates  ... 
doi:10.30534/ijatcse/2020/141942020 fatcat:akbr7unkonfhbknjcpakdg54sm

Process mining in oncology using the MIMIC-III dataset

Angelina Prima Kurniati, Geoff Hall, David Hogg, Owen Johnson
2018 Journal of Physics, Conference Series  
The MIMIC-III dataset has 16 event tables which are potentially useful for process mining and this paper demonstrates the opportunities to use MIMIC-III for process mining in oncology.  ...  Process mining is a data analytics approach to discover and analyse process models based on the real activities captured in information systems.  ...  In Stage 2 (Create control-flow model and connect event log), the extracted data subsets were analysed using several process mining approaches. This was related to discovery and conformance checking.  ... 
doi:10.1088/1742-6596/971/1/012008 fatcat:p6dvpkplz5gsbpdiro26stcblu

Decomposing Process Mining Problems Using Passages [chapter]

Wil M. P. van der Aalst
2012 Lecture Notes in Computer Science  
Process discovery-discovering a process model from example behavior recorded in an event log-is one of the most challenging tasks in process mining.  ...  Moreover, event logs may contain low frequent behavior and tend to be far from complete (i.e., typically only a fraction of the possible behavior is recorded).  ...  WF-nets are often used in the context of business process modeling and process mining.  ... 
doi:10.1007/978-3-642-31131-4_5 fatcat:5x3oxccee5cc3n73bvdko4qvu4

Using Domain Knowledge to Enhance Process Mining Results [chapter]

P. M. Dixit, J. C. A. M. Buijs, Wil M. P. van der Aalst, B. F. A. Hompes, J. Buurman
2017 Lecture Notes in Business Information Processing  
Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.  ...  General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications  ...  Original and modified process trees for event log L. Fig. 13 . 13 Fig. 13. BPMN model mined using IMi with filtered log containing infrequent traces only.  ... 
doi:10.1007/978-3-319-53435-0_4 fatcat:u6u3xwg3ozebbeg4hqawqxyv5y

Enhancing Process Mining Results using Domain Knowledge

Prabhakar M. Dixit, Joos C. A. M. Buijs, Wil M. P. van der Aalst, Bart Hompes, Hans Buurman
2015 International Symposium on Data-Driven Process Discovery and Analysis  
Process discovery algorithms typically aim at discovering process models from event logs.  ...  The outcome of our approach is a Pareto front of process models based on the constraints specified by the domain expert and common quality dimensions of process mining.  ...  As we use the process model containing only 10% (a) Process model mined with complete event log. (b) Process model with filtered log containing infrequent traces only.  ... 
dblp:conf/simpda/DixitBAHB15 fatcat:eamuuchrejhy5ixqlqfgnthk5u

Translating Message Sequence Charts to other Process Languages Using Process Mining [chapter]

Kristian Bisgaard Lassen, Boudewijn F. van Dongen
2008 Lecture Notes in Computer Science  
Unlike all known process mining techniques, we use a new approach that uses event logs containing explicit causal dependencies. This allows us to discover high-quality process models.  ...  Our approach takes MSCs and translates them into a special kind event logs.  ...  We showed how an existing process mining algorithm can be adapted to exploit causal dependencies and that the discovered model can be represented in different notations, e.g., EPCs, Petri nets, BPEL, and  ... 
doi:10.1007/978-3-540-89287-8_5 fatcat:vyo73ut7abcdtl3atlxh7zos54
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