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Discovering Block-Structured Process Models from Incomplete Event Logs [chapter]

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
2014 Lecture Notes in Computer Science  
Furthermore, we show in experiments that our approach even rediscovers models from incomplete event logs that are much smaller than required by other process discovery algorithms.  ...  One of the main challenges in process mining is to discover a process model describing observed behaviour in the best possible manner.  ...  In this paper, we investigate the problem of rediscovering process models from event logs, in particular from incomplete event logs.  ... 
doi:10.1007/978-3-319-07734-5_6 fatcat:42ovtkcr3zhztimhi5aqy2hm6y

Discovering Block–Structured Parallel Process Models from Causally Complete Event Logs

Julijana Lekić, Dragan Milićev
2016 Journal of Electrical Engineering  
The application of the modified method for discovering block-structured models of parallel business processes is presented in this paper.  ...  In this aim, we have modified the existing and introduced a new relation between activities recorded in the event log, which has led to a partial correction of the process models discovering technique,  ...  APPLYING THE MODIFIED TECHNIQUE FOR DISCOVERING BLOCK-STRUCTURED PARALLEL PROCESS MODELS FROM CAUSALLY COMPLETE EVENT LOGS A necessary condition for discovering the original network by the α -algorithm  ... 
doi:10.1515/jee-2016-0016 fatcat:3vfy5gc57jbxxg6sjpy7ouxbie

Motivations for Obtaining and Redeeming Coupons from a Coupon App: Customer Value Perspective

Hong Joo Lee, Joon Yeon Choeh
2021 Journal of Theoretical and Applied Electronic Commerce Research  
Automated process discovery (i.e., extracting process models from an events log), conformance checking (i.e., monitoring differences by comparing the model with the events log), and improvement (i.e.,  ...  The idea of process mining is discovering, monitoring, and improving real processes by extracting knowledge from events log, which is available in today's systems.  ...  These two metrics focus on the primary event log and the event log generated by the discovered process model.  ... 
doi:10.4067/s0718-18762021000200104 fatcat:2i6osg3z65fixk3sy3kiyp4ie4

Discovering distributed processes in supply chains [chapter]

Laura Maruster, J. C. Hans Wortmann, A. J. M. M. Ton Weijters, W. M. P. Wil Aalst
2003 Collaborative Systems for Production Management  
Such an induced or discovered process enables analysis across the supply chain, and can become an important tool to facilitate business process redesign in networked organizations.  ...  In this paper we present an overview of methods available to discover processes across supply chains, based on the assumption that there is a common point of reference at all involved parties, e.g. an  ...  A log is incomplete if: ' " The process that generates the log is too complex.  ... 
doi:10.1007/978-0-387-35698-3_16 fatcat:xdaq47lz75cjjfhgukigdbttzq

Weakly Complete Event Logs in Process Mining

Julijana Lekić, Dragan Milićev
2021 Computing and informatics  
Keywords: Process mining, business process model discovery, block-structured parallel process models, α-algorithm, α ∥ -algorithm, complete log, weakly complete event log 1 Footprint of the event log is  ...  From behaviour example records in traces of the event log, the α-algorithm automatically generates a process model that belongs to a subclass of Petri nets, known as workflow nets.  ...  The inductive miner (IM) [23] , aims to discover block-structured process models that are sound and fitting to the behavior represented in the event log.  ... 
doi:10.31577/cai_2021_2_341 fatcat:weygmnounzgspexdvlz4pa7fru

Using Interface Patterns for Compositional Discovery of Distributed System Models
Автоматизированный композициональный синтез моделей распределенных систем с помощью паттернов интерфейсов

R.A. Nesterov, I.A. Lomazova
2017 Proceedings of the Institute for System Programming of RAS  
They mainly involve several participants (or agents) managing and executing operations on the basis of process models. To reveal the actual behavior of agents, we can use process discovery.  ...  To overcome this problem, we propose interface patterns, which allow getting models of multi-agent processes with a clearly identified agent behavior and interaction scheme as well.  ...  Petri nets are the most widespread process model representations discovered from event logs.  ... 
doi:10.15514/ispras-2017-29(4)-2 fatcat:ypy3j2zwtffgnbsi7n2vcmzzbe

Scalable process discovery and conformance checking

Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst
2016 Journal of Software and Systems Modeling  
Discovering a process model from such event data and verification of the quality of discovered models are important steps in process mining.  ...  To measure the quality of discovered models for such large logs, we introduce a model-model and model-log comparison framework that applies a divide-and-conquer strategy to measure recall, fitness, and  ...  Process discovery Process discovery aims at discovering a process model from an event log (see Fig. 1 ).  ... 
doi:10.1007/s10270-016-0545-x pmid:29706859 pmcid:PMC5910523 fatcat:23pxm6bspjazlbx2qd52ops7m4

Workflow mining: A survey of issues and approaches

W.M.P. van der Aalst, B.F. van Dongen, J. Herbst, L. Maruster, G. Schimm, A.J.M.M. Weijters
2003 Data & Knowledge Engineering  
Many of todayÕs information systems are driven by explicit process models.  ...  Starting point for workflow mining is a so-called "workflow log" containing information about the workflow process as it is actually being executed.  ...  Block-structured models are made up from blocks which are nested. These building blocks of block-structured models can be differentiated into operators and constants.  ... 
doi:10.1016/s0169-023x(03)00066-1 fatcat:ucgysjykvzgrzmxqxi2p53djhe

Automated Discovery of Process Models from Event Logs: Review and Benchmark

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio M. Maggi, Andrea Marrella, Massimo Mecella, Allar Soo
2018 IEEE Transactions on Knowledge and Data Engineering  
by the event log.  ...  An automated process discovery method takes as input an event log, and produces as output a business process model that captures the control-flow relations between tasks that are observed in or implied  ...  In [10] , the authors describe an algorithm to extract block-structured Petri nets from event logs.  ... 
doi:10.1109/tkde.2018.2841877 fatcat:s2sca5k24bgafplv7f5x72s2ny

Scientific workflows for process mining: building blocks, scenarios, and implementation

Alfredo Bolt, Massimiliano de Leoni, Wil M. P. van der Aalst
2015 International Journal on Software Tools for Technology Transfer (STTT)  
Event logs have a very particular structure; events have timestamps, refer to activities and resources, and need to be correlated to form process instances.  ...  This paper structures the basic building blocks needed for process mining and describes various analysis scenarios.  ...  This building block represents the functionality of discovering a process model from event data.  ... 
doi:10.1007/s10009-015-0399-5 fatcat:5qgjnb2ckvaaxgtjcojhhpuyxa

Automated Discovery of Process Models from Event Logs: Review and Benchmark [article]

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella, Allar Soo
2018 arXiv   pre-print
by the event log.  ...  An automated process discovery method takes as input an event log, and produces as output a business process model that captures the control-flow relations between tasks that are observed in or implied  ...  The method is based on a divide-and-conquer algorithm which discovers block-structured process models from logs.  ... 
arXiv:1705.02288v3 fatcat:7wz5qz76tnaxhmvoo4il2awonu

Process mining: a research agenda

W.M.P. van der Aalst, A.J.M.M. Weijters
2004 Computers in industry (Print)  
Process mining aims at extracting information from event logs to capture the business process as it is being executed.  ...  Enterprise information systems support and control operational business processes ranging from simple internal back-office processes to complex interorganizational processes.  ...  The goal of process mining is to extract an explicit process model from event logs, i.e., the challenge to create a process model given a log with events such that the model is consistent with the observed  ... 
doi:10.1016/j.compind.2003.10.001 fatcat:areplhnmu5cnxcxocifypwqpbi

On the Representational Bias in Process Mining

W.M.P. van der Aalst
2011 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises  
One of the most challenging process mining tasks is process discovery, i.e., the automatic construction of process models from raw event logs.  ...  Process mining serves a bridge between data mining and business process modeling. The goal is to extract processrelated knowledge from event data stored in information systems.  ...  ACKNOWLEDGMENT The author would like to thank the members of the IEEE Task Force on Process Mining (www.win.tue.nl/ieeetfpm/) and all that contributed to the development of ProM (www. processmining.org  ... 
doi:10.1109/wetice.2011.64 dblp:conf/wetice/Aalst11 fatcat:46z7wjt5hjaz5h4w2uk425n2zu

Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System [article]

Prerna Juneja, Divya Kundra, Ashish Sureka
2015 arXiv   pre-print
Process Mining consists of mining event logs generated from PAIS for process model discovery, conformance and enhancement.  ...  We improve the Goodness (fitness and structural complexity) of the process models by splitting the event-log into homogeneous subsets by clustering structurally similar traces.  ...  PROCESS DISCOVERY & EVALUATION We discover process models from the entire event log as well as the event log of the clusters using Disco.  ... 
arXiv:1511.07023v1 fatcat:2trnq2iutjgzlbj7rztmq7e23u

Generating Block-Structured Parallel Process Models by Demonstration

Julijana Lekić, Dragan Milićev, Dragan Stanković
2021 Applied Sciences  
A modified process mining technique with the α|| algorithm applied on weakly complete event logs is used for creating parallel business process models using demonstration.  ...  In this paper, the original method of applying the principles of programming by demonstration in the area of process mining (PM) to interactive construction of block-structured parallel business processes  ...  Data Availability Statement: The data cited in this manuscript are available from the published papers or a corresponding author.  ... 
doi:10.3390/app11041876 fatcat:mvwfxbdmzfhajecvsfexwzby7e
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