Real-Time Process Monitoring Platform: Technical Implementation

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dc.citation.epage276
dc.citation.journalTitleІнформація, комунікація, суспільство : матеріали 7-ї Міжнародної наукової конференції
dc.citation.spage275
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorBatyuk, Anatoliy
dc.contributor.authorVoityshyn, Volodymyr
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.coverage.temporal17–19 травня 2018 року, Чинадієво
dc.date.accessioned2023-05-02T06:30:47Z
dc.date.available2023-05-02T06:30:47Z
dc.date.created2018-06-01
dc.date.issued2018-06-01
dc.description.abstractModern IT systems produce vast amount of event data that contains digital footprints of processes automated by means of software. Mining of process models from real-life data brings a lot of benefits since it reveals an actual situation with further possibilities of its analysis and improvements. Technical implementation of a real-time process monitoring platform is represented. The platform is based on the lambda architecture pattern and incorporate an adoption of a streaming process discovery algorithm.
dc.format.extent275-276
dc.format.pages2
dc.identifier.citationBatyuk A. Real-Time Process Monitoring Platform: Technical Implementation / Anatoliy Batyuk, Volodymyr Voityshyn // Інформація, комунікація, суспільство : матеріали 7-ї Міжнародної наукової конференції, 17–19 травня 2018 року, Чинадієво. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 275–276. — (Технології інформаційного менеджменту та інтелектуального опрацювання даних).
dc.identifier.citationenBatyuk A. Real-Time Process Monitoring Platform: Technical Implementation / Anatoliy Batyuk, Volodymyr Voityshyn // Informatsiia, komunikatsiia, suspilstvo : materialy 7-yi Mizhnarodnoi naukovoi konferentsii, 17–19 travnia 2018 roku, Chynadiievo. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 275–276. — (Tekhnolohii informatsiinoho menedzhmentu ta intelektualnoho opratsiuvannia danykh).
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/58864
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofІнформація, комунікація, суспільство : матеріали 7-ї Міжнародної наукової конференції, 2018
dc.relation.references[1] W.M.P. van der Aalst, et al., "Process mining manifesto," in Business Process Management Workshops. BPM 2011 International Workshops. Lecture Notes in Business Information Processing, Clermont-Ferrand, France, 2011, vol. 99, pp. 169-194.
dc.relation.references[2] A. Burattin, A. Sperduti, W.M.P. van der Aalst, "Heuristics Miners for Streaming Event Data," in CoRR (Computing Research Repository), abs/1212.6383, 2012.
dc.relation.references[3] A. Batyuk and V. Voityshyn, "Software Architecture Design of the Real-Time Processes Monitoring Platform," in 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 2018, unpublished.
dc.relation.references[4] A. Batyuk and V. Voityshyn, "Streaming Process Discovery for Lambda Architecture based Process Monitoring Platform," in 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, 2018, unpublished.
dc.relation.references[5] "Lambda Architecture", [Online]. Available: http://lambda-architecture.net/. [Accessed: 25 Mar 2018].
dc.relation.references[6] W.M.P. van der Aalst, Process mining: data science in action, 2nd ed. Berlin: Springer, 2016.
dc.relation.references[7] IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams, IEEE Std 1849-2016, 2016.
dc.relation.referencesen[1] W.M.P. van der Aalst, et al., "Process mining manifesto," in Business Process Management Workshops. BPM 2011 International Workshops. Lecture Notes in Business Information Processing, Clermont-Ferrand, France, 2011, vol. 99, pp. 169-194.
dc.relation.referencesen[2] A. Burattin, A. Sperduti, W.M.P. van der Aalst, "Heuristics Miners for Streaming Event Data," in CoRR (Computing Research Repository), abs/1212.6383, 2012.
dc.relation.referencesen[3] A. Batyuk and V. Voityshyn, "Software Architecture Design of the Real-Time Processes Monitoring Platform," in 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 2018, unpublished.
dc.relation.referencesen[4] A. Batyuk and V. Voityshyn, "Streaming Process Discovery for Lambda Architecture based Process Monitoring Platform," in 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, 2018, unpublished.
dc.relation.referencesen[5] "Lambda Architecture", [Online]. Available: http://lambda-architecture.net/. [Accessed: 25 Mar 2018].
dc.relation.referencesen[6] W.M.P. van der Aalst, Process mining: data science in action, 2nd ed. Berlin: Springer, 2016.
dc.relation.referencesen[7] IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams, IEEE Std 1849-2016, 2016.
dc.relation.urihttp://lambda-architecture.net/
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.subjectprocess mining
dc.subjectstreaming process discovery
dc.subjectevent data
dc.subjectlambda architecture
dc.titleReal-Time Process Monitoring Platform: Technical Implementation
dc.typeConference Abstract

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Інформація,комунікація,суспільство (ICS-2018). – 2018 р.