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Automated Discovery of Data Transformations for Robotic Process Automation [article]

Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
2020 arXiv   pre-print
Robotic Process Automation (RPA) is a technology for automating repetitive routines consisting of sequences of user interactions with one or more applications.  ...  The paper shows that a naive application of a state-of-the-art technique for data transformation discovery is computationally inefficient.  ...  Related Work Discovering RPA routines is related to the problem of Automated Process Discovery (APD) (Augusto et al. 2019), which has been studied in the field of process mining.  ... 
arXiv:2001.01007v1 fatcat:pc2vwv2ybng4pm6vzgjxhjfbyy

A User Evaluation of Automated Process Discovery Algorithms [article]

Fabrizio Maria Maggi, Andrea Marrella, Fredrik Milani, Allar Soo, and Silva Kasela
2018 arXiv   pre-print
One of the most widely studied process mining operations is automated process discovery.  ...  The evaluation results highlight gaps and unexplored trade-offs in the field and allow researchers to improve the lacks in the automated process discovery methods in terms of usability of process discovery  ...  Finally, domain experts found that the automated process discovery methods at current state are not as useful as they could be for their goals.  ... 
arXiv:1806.03150v1 fatcat:mzreinyyabdklbsldxjw5dczxq

Automated Discovery of Business Process Simulation Models from Event Logs [article]

Manuel Camargo, Marlon Dumas, Oscar González-Rojas
2020 arXiv   pre-print
However, existing methods for log-based discovery of simulation models do not seek to optimize the accuracy of the resulting models.  ...  Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios.  ...  However, it does not provide concrete guidance for discovering accurate BPS models from process execution data. Automated discovery of BPS models using process mining.  ... 
arXiv:1910.05404v3 fatcat:uis6v5ugw5endjccrqs5zmplau

JAMEJAM: A Framework for Automating the Service Discovery Process

Islam Elgedawy
2016 Journal of Software  
This creates a need for an automated approach that allows different users to dynamically construct their discovery processes on the fly.  ...  Therefore, we propose JAMEJAM, a framework for service discovery automation.  ...  Conclusion In this paper, we proposed JAMEJAM, an automation framework for the service discovery process that enables users to create customizable discovery processes on the fly.  ... 
doi:10.17706/jsw.11.7.646-655 fatcat:bgoqmfd5m5f4xcjq3vyc4sagvi

Optimization framework for DFG-based automated process discovery approaches

Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans, Seppe K. L. M. vanden Broucke
2021 Journal of Software and Systems Modeling  
This article presents a metaheuristic optimization framework for automated process discovery.  ...  A few studies have suggested that the accuracy of automated process discovery approaches can be enhanced by means of metaheuristic optimization techniques.  ...  application to automated process discovery in particular.  ... 
doi:10.1007/s10270-020-00846-x fatcat:qzo2akk6yfdvfegngujna2kcoi

Controlled automated discovery of collections of business process models

Luciano García-Bañuelos, Marlon Dumas, Marcello La Rosa, Jochen De Weerdt, Chathura C. Ekanayake
2014 Information Systems  
Automated process discovery techniques aim at extracting process models from information system logs.  ...  In this setting, this paper presents a two-way divide-and-conquer process discovery technique, wherein the discovered process models are split on the one hand by variants and on the other hand hierarchically  ...  Process mining encompasses a vast array of techniques, including techniques for automated discovery of business process models.  ... 
doi:10.1016/j.is.2014.04.006 fatcat:mzkpn7neq5e2doiu7qmfgjjjgi

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
One of the most widely studied process mining operations is automated process discovery.  ...  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  ...  One of the most widely investigated process mining operations is automated process discovery.  ... 
arXiv:1705.02288v3 fatcat:7wz5qz76tnaxhmvoo4il2awonu

Automated discovery of business process simulation models from event logs

Manuel Camargo, Marlon Dumas, Oscar González-Rojas
2020 Decision Support Systems  
However, the discovery, validation, and tuning of business process simulation models is cumbersome and error-prone.  ...  Journal Pre-proof J o u r n a l P r e -p r o o f ( / )  implies partially supported, for example, supported but not in an automated manner.  ...  Pre-processing In this step, an automated process discovery technique is applied to extract a BPMN process model from the event log.  ... 
doi:10.1016/j.dss.2020.113284 fatcat:7fdqv5nstvg3nbxxgpgngeo2vq

Automated discovery of declarative process models with correlated data conditions

Volodymyr Leno, Marlon Dumas, Fabrizio Maria Maggi, Marcello La Rosa, Artem Polyvyanyy
2019 Information Systems  
Automated process discovery techniques enable users to generate business process models from event logs extracted from enterprise information systems.  ...  However, the bulk of approaches for automated discovery of declarative process models focus on the control-flow perspective, ignoring the data perspective.  ...  The process models produced by automated process discovery techniques mainly fall into two categories: procedural and declarative.  ... 
doi:10.1016/j.is.2019.101482 fatcat:57bd2tnz5nahbhvl4a7kdj6lee

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  
One of the most widely studied process mining operations is automated process discovery.  ...  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  ...  One of the most widely studied process mining operations is automated process discovery.  ... 
doi:10.1109/tkde.2018.2841877 fatcat:s2sca5k24bgafplv7f5x72s2ny

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

Raffaele Conforti, Marlon Dumas, Luciano García-Bañuelos, Marcello La Rosa
2016 Information Systems  
Existing techniques for automated discovery of process models from event logs generally produce flat process models.  ...  This paper presents a technique for automated discovery of hierarchical BPMN models containing interrupting and non-interrupting boundary events and activity markers.  ...  Section 2 discusses techniques for automated process discovery.  ... 
doi:10.1016/j.is.2015.07.004 fatcat:m4szcdpherarpj3ew7dfyeeqte

A framework for semi-automated process instance discovery from decorative attributes

Andrea Burattin, Roberto Vigo
2011 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)  
In business process theory, once the process has been defined, it is possible to have a number of instances of the process running at the same time.  ...  Process mining is a relatively new field of research: is final aim is to bridge the gap between data mining and business process modelling.  ...  Together with discovery, process mining provides also techniques for process conformance analysis (given a model, it tries to map the actual executions into the original model).  ... 
doi:10.1109/cidm.2011.5949450 dblp:conf/cidm/BurattinV11 fatcat:uloxnsaigvbe5lj4k7cowdwebm

Performance of an automated process model discovery – the logistics process of a manufacturing company

Michal Halaška, Roman Šperka
2019 Engineering Management in Production and Services  
Consequently, higher demands are placed on the construction of automated process models. Such a possibility is provided by automated process discovery techniques.  ...  Next, five chosen automated process discovery techniques are applied to the event logs, and the results are evaluated.  ...  Acknowledgement The work was supported by Project SGS/8/2018 project "Advanced methods and procedures of business process management" implemented by the Silesian University in Opava, Czechia.  ... 
doi:10.2478/emj-2019-0014 fatcat:htkul6cnmjgtlng6erlzmevd2e

NetBoxR: Automated Discovery of Biological Process Modules by Network Analysis in R [article]

Eric Minwei Liu, Augustin Luna, Guanlan Dong, Chris Sander
2020 bioRxiv   pre-print
We developed the NetBoxR package written in the R programming language, that makes use of the NetBox algorithm to identify candidate cancer-related processes.  ...  accumulated a variety of high throughput sequencing and molecular profiling data, but it is still challenging to identify potentially causal genetic mutations in cancer as well as in other diseases in an automated  ...  In this spirit, we have developed the NetBox algorithm that seeks to automate the identification of candidate oncogenic processes and involved genes, which allows the quantitative analysis of genomic alterations  ... 
doi:10.1101/2020.06.02.129387 fatcat:uuvqq2ope5exjkruw2h5y3peei

netboxr: Automated discovery of biological process modules by network analysis in R

Eric Minwei Liu, Augustin Luna, Guanlan Dong, Chris Sander, Tao Huang
2020 PLoS ONE  
in cancer as well as in other diseases in an automated fashion.  ...  International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes  ...  In this spirit, we have developed the NetBox algorithm that seeks to automate the identification of candidate oncogenic processes and involved genes, which allows the quantitative analysis of genomic alterations  ... 
doi:10.1371/journal.pone.0234669 pmid:33137091 fatcat:qvo3fnpjmfd23nq3ex5ti43skq
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