process mining vanthienen
A Comprehensive Framework for the Application of
2012-12-1 · DOI: 10.2139/ssrn.2244885 Corpus ID: 14264130. A Comprehensive Framework for the Application of Process Mining in Risk Management and Compliance Checking @article{Caron2012ACF, title={A Comprehensive Framework for the Application of Process Mining in Risk Management and Compliance Checking}, author={Filip Caron and Jan
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Jan Vanthienen | KU Leuven - Academia.edu
ABSTRACT Within process mining research, one of the most important fields of study is process discovery, which can be defined as the extraction of control-flow models from audit trails or information system event logs. The evaluation of discovered process models is an essential but difficult task for any process discovery analysis.
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Multi-Paradigm Process Mining: Retrieving Better Models
2014-7-10 · Jan Vanthienen. Katholieke Universiteit Leuven (K.U.Leuven) Date Written: 2014. Abstract. Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows, extracted from event logs which are the outcome of today's omnipresent information systems. The discovery and ...
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Research topics – Jan Vanthienen
Current topics of interest include: Decision Modeling, Process Modeling, Decision & Process Mining and Analytics, Decision Tables & Business Rules Decision Modeling Most processes incorporate decisions of some kind. Decisions are typically based upon a number of business (decision) rules that describe the premises and possible outcomes of a specific situation.
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Process Mining and the ProM Framework: An Exploratory ...
2012-9-3 · Abstract. In the last decade the field of process mining gained attention from research and practice. There is, however, not much known about the use and the appreciation of the involved techniques and tools, many of which are integrated into the well-known ProM framework.
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Process Discovery: An Introduction | SpringerLink
Process discovery is one of the most challenging process mining tasks. Based on an event log, a process model is constructed thus capturing the behavior seen in the log. This chapter introduces the topic using the rather naïve α -algorithm. This algorithm nicely illustrates some of the general ideas used by many process mining algorithms and ...
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PhD students and committees – Jan Vanthienen
31 oktober 2014: Seppe vanden Broucke, KU Leuven, FEB, ‘Advances in Process Mining: Artificial negative events and other techniques’, Bart Baesens (promotor), Jan Vanthienen (co-promotor) 27 mei 2013: Filip Caron, KU Leuven, FEB, ‘Business process analytics for enterprise risk management and auditing’, promotor J. Vanthienen
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Projects – Jan Vanthienen
The main goal of this research proposal is to obtain fitter process models, by bringing current business process analytics to a more robust level via the enrichment of event logs, which serve as the input for such techniques, thereby leading to better insights and to the improvement of process modeling and process control. Promotor: Vanthienen, J.
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Process Mining Manifesto | SpringerLink
2011-8-29 · Abstract. Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining.
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Process mining techniques and applications – A systematic ...
2019-11-1 · Process mining was identified as a prominent approach for security control in a systematic review on security (Leitner & Rinderle-Ma, 2014). A secondary study approached process mining focused on conformance monitoring, and established main functionalities and compared existing approaches and tools (Ly et al., 2015).
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CiteSeerX — Vanthienen J.: Process Mining as First-Order ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. Process mining is the automated construction of process models from information system event logs. In this paper we identify three fundamental difficulties related to process mining: the lack of neg-ative information, the presence of history-dependent behavior and the presence of noise.
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Multi-Paradigm Process Mining: Retrieving Better Models
2014-7-10 · Jan Vanthienen. Katholieke Universiteit Leuven (K.U.Leuven) Date Written: 2014. Abstract. Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows, extracted from event logs which are the outcome of today's omnipresent information systems. The discovery and ...
Read More
Extracting decision models from data and text
2021-10-20 · (Vanthienen J., 1993 –Fish A., 2012 - Silver B., 2016) • Extracting dependencies + rules from text • Mining decisions models from data1 (process mining + data mining) • Extracting DMN from process models 1 De Smedt, J., Hasic, F., vanden Broucke, S., Vanthienen, J.: Holistic discovery of decision models from process execution data. Knowl.
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A comprehensive investigation of the applicability of ...
Process mining techniques and tools perfectly complement the existing set of enterprise risk management approaches. Enterprise risk management aims at minimizing the negative effects of uncertainty on the objectives, while at the same time promoting the potential positive effects. ... Prof. Dr. Jan Vanthienen is professor of information ...
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Research topics – Jan Vanthienen
Current topics of interest include: Decision Modeling, Process Modeling, Decision & Process Mining and Analytics, Decision Tables & Business Rules Decision Modeling Most processes incorporate decisions of some kind. Decisions are typically based upon a number of business (decision) rules that describe the premises and possible outcomes of a specific situation.
Read More
Process Analytics | DataMiningApps
In close collaboration with prof. Vanthienen and prof. De Weerdt we do research on Process Analytics & Mining.. Most traditional machine learning techniques assume that input data are provided in the form of a flat, tabular structure, with columns
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Projects – Jan Vanthienen
The main goal of this research proposal is to obtain fitter process models, by bringing current business process analytics to a more robust level via the enrichment of event logs, which serve as the input for such techniques, thereby leading to better insights and to the improvement of process modeling and process control. Promotor: Vanthienen, J.
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ActiTraC: Active Trace Clustering - Process Mining
2020-10-15 · About ----- Process discovery is the learning task that entails the construction of process models from event logs of information systems. ... logs from such flexible systems often contain a large variety of process executions which makes the application of process mining most interesting. ... vanden Broucke, S., Vanthienen, J., Baesens, B ...
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Process Mining | DataMiningApps
Process mining starts from these event logs as the cornerstone of analysis and aims to derive knowledge to model, improve and extend operational processes “as they happen” in the organization. The topic of process mining can be situated at the intersection of the fields of Business Process Management (BPM) and data mining.
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Process mining techniques and applications – A systematic ...
2019-11-1 · Process mining was identified as a prominent approach for security control in a systematic review on security (Leitner & Rinderle-Ma, 2014). A secondary study approached process mining focused on conformance monitoring, and established main functionalities and compared existing approaches and tools (Ly et al., 2015).
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A process mining-based investigation of adverse events in ...
2013-10-1 · A process mining-based investigation of adverse events in care processes. Caron F, Vanthienen J, Vanhaecht K, Van Limbergen E, Deweerdt J, Baesens B. PMID: 24080912 [PubMed - as supplied by publisher]
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Extracting decision models from data and text
2021-10-20 · (Vanthienen J., 1993 –Fish A., 2012 - Silver B., 2016) • Extracting dependencies + rules from text • Mining decisions models from data1 (process mining + data mining) • Extracting DMN from process models 1 De Smedt, J., Hasic, F., vanden Broucke, S., Vanthienen, J.: Holistic discovery of decision models from process execution data. Knowl.
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A Process Mining-Based Investigation of Adverse Events in ...
2014-3-1 · Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events.
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Process mining as first-order classification learning on ...
2007-9-26 · Process mining as first-order classification learning on logs with negative events ... B., Haesen, R. and Vanthienen, J. (2007) Process mining as first-order classification learning on logs with negative events. 3rd Workshop on Business Process Intelligence (BPI 07), Brisbane, Australia. 24 - 26 Sep 2007. pp. 42-53.
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A comprehensive investigation of the applicability of ...
Process mining techniques and tools perfectly complement the existing set of enterprise risk management approaches. Enterprise risk management aims at minimizing the negative effects of uncertainty on the objectives, while at the same time promoting the potential positive effects. ... Prof. Dr. Jan Vanthienen is professor of information ...
Read More
ActiTraC: Active Trace Clustering - Process Mining
2020-10-15 · About ----- Process discovery is the learning task that entails the construction of process models from event logs of information systems. ... logs from such flexible systems often contain a large variety of process executions which makes the application of process mining most interesting. ... vanden Broucke, S., Vanthienen, J., Baesens, B ...
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Straightforward Petri Net-based Event Log ... - Process
2020-1-28 · References ----- Please cite the following work if you use the log generator: * vanden Broucke, S., De Weerdt, J., Vanthienen, J., Baesens, B. (2012). An improved process event log artificial negative event generator. FEB Research Report KBI_1216, 1-17 pp. Leuven (Belgium): KU Leuven – Faculty of Economics and Business.
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A Survey on Concept Drift in Process Mining | ACM ...
Abstract. Concept drift in process mining (PM) is a challenge as classical methods assume processes are in a steady-state, i.e., events share the same process version. We conducted a systematic literature review on the intersection of these areas, and thus, we review concept drift in PM and bring forward a taxonomy of existing techniques for ...
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Process discovery in event logs: An application in the ...
Researches have applied process mining on event logs from real-life workflow information systems, where processes are automatically stored (Goedertier, De
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Process mining techniques and applications – A systematic ...
2019-11-1 · Process mining was identified as a prominent approach for security control in a systematic review on security (Leitner & Rinderle-Ma, 2014). A secondary study approached process mining focused on conformance monitoring, and established main functionalities and compared existing approaches and tools (Ly et al., 2015).
Read More