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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Матеріали конференцій
  4. Data stream mining and processing : proceedings of the IEEE second international conference
  5. Data stream mining and processing : proceedings of the IEEE second international conference

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52468
Title: Software Architecture Design of the Real-Time Processes Monitoring Platform
Authors: Batyuk, Anatoliy
Voityshyn, Volodymyr
Verhun, Volodymyr
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Batyuk A. Software Architecture Design of the Real-Time Processes Monitoring Platform / Anatoliy Batyuk, Volodymyr Voityshyn, Volodymyr Verhun // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 98–101. — (Big Data & Data Science Using Intelligent Approaches).
Bibliographic description (International): Batyuk A. Software Architecture Design of the Real-Time Processes Monitoring Platform / Anatoliy Batyuk, Volodymyr Voityshyn, Volodymyr Verhun // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 98–101. — (Big Data & Data Science Using Intelligent Approaches).
Is part of: Data stream mining and processing : proceedings of the IEEE second international conference, 2018
Conference/Event: IEEE second international conference "Data stream mining and processing"
Issue Date: 28-Feb-2018
Publisher: Lviv Politechnic Publishing House
Place of the edition/event: Львів
Temporal Coverage: 21-25 August 2018, Lviv
Keywords: process mining
event data
event logs
business process management
BPM
XES
lambda architecture
Number of pages: 4
Page range: 98-101
Start page: 98
End page: 101
Abstract: Understanding of how business processes are executed in real-life is vitally important for a company. Any process leaves a digital footprint that can be transformed into so-called event logs and analyzed with process mining techniques. A software platform with the purpose of near realtime processes monitoring is implemented. Design of the represented platform is based on the lambda architecture combining online and offline process mining algorithms with advanced analytics based on machine learning.
URI: https://ena.lpnu.ua/handle/ntb/52468
ISBN: © Національний університет „Львівська політехніка“, 2018
© Національний університет „Львівська політехніка“, 2018
Copyright owner: © Національний університет “Львівська політехніка”, 2018
URL for reference material: http://lambdaarchitecture.net/
http://milinda.pathirage.org/kappa-architecture.com/
https://fluxicon.com/blog/2010/10/prom-tips-mining-algorithm/
https://www.sap.com/developer/showcases/process-mining-bycelonis.html
References (Ukraine): [1] W. M. P. van der Aalst, et al., "Process mining manifesto," in Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, Berlin, German, vol. 99, pp. 169-194, 2011.
[2] IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams, IEEE Std 1849-2016, 2016.
[3] W. M. P. van der Aalst, T. Weijters, and L. Maruster, "Workflow mining: discovering process models from event logs," in IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 9, pp. 1128-1142, 2004.
[4] A. Batyuk and V. Voityshyn, "Business Processes Monitoring by Means of Real-Time Visual Dashboards," 6th International Academic Conference on Information, Communication, Society 2017, Lviv, Ukraine, pp. 204-205, 2017.
[5] R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, I. Žliobaitė, and M. Pechenizkiy, "Handling Concept Drift in Process Mining," in Advanced Information Systems Engineering. CAiSE 2011. Lecture Notes in Computer Science, London, UK, vol. 6741, pp. 391-405, 2011.
[6] W.M.P. van der Aalst, Process mining: data science in action. Berlin Heidelberg: Springer-Verlag, 2016.
[7] M. Barbacci, M. H. Klein, T. H. Longstaff, and C. B. Weinstock, Quality Attributes. SEI at Carnegie Mellon University, Pittsburgh, Pennsylvania, Rep. CMU/SEI-95-TR-021, 1995.
[8] L. Bass, P. Clements, and R. Kazman, Software Architecture in Practice, 3rd ed. Addison-Wesley Professional, 2012.
[9] "Lambda Architecture", [Online]. Available: http://lambdaarchitecture.net/. [Accessed: 25 Mar 2018].
[10] "kappa-architecture.com", [Online]. Available: http://milinda.pathirage.org/kappa-architecture.com/. [Accessed: 25 Mar 2018].
[11] A. Batyuk and V. Voityshyn, "Apache storm based on topology for real-time processing of streaming data from social networks," 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP 2016), Lviv, Ukraine, pp. 345-349, 2016.
[12] H. M. W. Verbeek, J. C. A. M. Buijs, B. F. van Dongen, and W. M. P. van der Aalst, "ProM 6: the process mining toolkit," in Proceedings of the Business Process Management 2010 Demonstration Track, Hoboken NJ, USA, vol 615, pp. 34-39, 2010.
[13] W.G. Christian, W.M.P. van der Aalst, "Fuzzy Mining – Adaptive Process Simplification," in Proceedings of the 5th International Conference on Business Process Management (BPM 2007), Brisbane, Australia, vol 4714, pp. 328-343, 2007.
[14] Ch. W. Günther, and A. Rozinat, "Disco: Discover Your Processes," in Proceedings of the Demonstration Track of the 10th International Conference on Business Process Management (BPM 2012), Tallinn, Estonia, vol 940, pp. 40-44, 2012.
[15] F. Veit, J. Geyer-Klingeberg, J. Madrzak, M. Haug, and J. Thomson, "The Proactive Insights Engine: Process Mining meets Machine Learning and Artificial Intelligence," in 15th International Conference on Business Process Management (BPM 2017). BPM Demo Track and BPM Dissertation Award, Barcelona, Spain, vol 1920, pages 5, 2017.
[16] A. Rozinat, "ProM Tips - Which Mining Algorithm Should You Use?", 2010. [Online]. Available: https://fluxicon.com/blog/2010/10/prom-tips-mining-algorithm/. [Accessed: 25 Mar 2018].
[17] A. Burattin, "Process Mining for Stream Data Sources,". in Process Mining Techniques in Business Environments. Lecture Notes in Business Information Processing, Cham, Springer, vol 207, pp. 177-204, 2015.
[18] O. Mulesa, F. Geche, A. Batyuk, and V. Buchok, "Development of Combined Information Technology for Time Series Prediction," in Advances in Intelligent Systems and Computing II (CSIT 2017), Lviv, Ukraine, vol 689, pp. 361-373, 2017.
[19] P. Bydyuk, A. Gozhyj, I. Kalinina, and V. Gozhyj, "Analysis of unsertainty types for model building and forecasting dynamic processes," in Advances in Intelligent Systems and Computing II (CSIT 2017), Lviv, Ukraine, vol 689, pp.66-82, 2017.
[20] Ye. Bodyanskiy, I. P. Pliss, D. Peleshko, Yu. Rashkevych, and O. Vynokurova, "Hybrid Generalized Additive Wavelet-Neuro-FuzzySystem and its Adaptive Learning," in The Eleventh International Conference on Dependability and Complex Systems DepCoSRELCOMEX., Brunow, Poland, pp. 51-61, 2016.
[21] Ye. Bodyanskiy, G. Setlak, D. Peleshko, and O. Vynokurova, "Hybrid Generalized Additive Neuro-Fuzzy System and its Adaptive Learning Algorithms," 8th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Warsaw, Poland, pp. 328-333, 2015.
[22] "Showcase: SAP Process Mining by Celonis", [Online]. Available: https://www.sap.com/developer/showcases/process-mining-bycelonis.html. [Accessed: 25 Mar 2018].
[23] T. Teslyuk, I. Tsmots, V. Teslyuk, M. Medykovskyy, and Y. Opotyak, "Architecture and Models for System-Level ComputerAided Design of the Management System of Energy Efficiency of Technological Processes at the Enterprise in Advances," in Intelligent Systems and Computing II. CSIT 2017, Lviv, Ukraine, vol 689, pp. 538-557, 2017.
References (International): [1] W. M. P. van der Aalst, et al., "Process mining manifesto," in Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, Berlin, German, vol. 99, pp. 169-194, 2011.
[2] IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams, IEEE Std 1849-2016, 2016.
[3] W. M. P. van der Aalst, T. Weijters, and L. Maruster, "Workflow mining: discovering process models from event logs," in IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 9, pp. 1128-1142, 2004.
[4] A. Batyuk and V. Voityshyn, "Business Processes Monitoring by Means of Real-Time Visual Dashboards," 6th International Academic Conference on Information, Communication, Society 2017, Lviv, Ukraine, pp. 204-205, 2017.
[5] R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, I. Žliobaitė, and M. Pechenizkiy, "Handling Concept Drift in Process Mining," in Advanced Information Systems Engineering. CAiSE 2011. Lecture Notes in Computer Science, London, UK, vol. 6741, pp. 391-405, 2011.
[6] W.M.P. van der Aalst, Process mining: data science in action. Berlin Heidelberg: Springer-Verlag, 2016.
[7] M. Barbacci, M. H. Klein, T. H. Longstaff, and C. B. Weinstock, Quality Attributes. SEI at Carnegie Mellon University, Pittsburgh, Pennsylvania, Rep. CMU/SEI-95-TR-021, 1995.
[8] L. Bass, P. Clements, and R. Kazman, Software Architecture in Practice, 3rd ed. Addison-Wesley Professional, 2012.
[9] "Lambda Architecture", [Online]. Available: http://lambdaarchitecture.net/. [Accessed: 25 Mar 2018].
[10] "kappa-architecture.com", [Online]. Available: http://milinda.pathirage.org/kappa-architecture.com/. [Accessed: 25 Mar 2018].
[11] A. Batyuk and V. Voityshyn, "Apache storm based on topology for real-time processing of streaming data from social networks," 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP 2016), Lviv, Ukraine, pp. 345-349, 2016.
[12] H. M. W. Verbeek, J. C. A. M. Buijs, B. F. van Dongen, and W. M. P. van der Aalst, "ProM 6: the process mining toolkit," in Proceedings of the Business Process Management 2010 Demonstration Track, Hoboken NJ, USA, vol 615, pp. 34-39, 2010.
[13] W.G. Christian, W.M.P. van der Aalst, "Fuzzy Mining – Adaptive Process Simplification," in Proceedings of the 5th International Conference on Business Process Management (BPM 2007), Brisbane, Australia, vol 4714, pp. 328-343, 2007.
[14] Ch. W. Günther, and A. Rozinat, "Disco: Discover Your Processes," in Proceedings of the Demonstration Track of the 10th International Conference on Business Process Management (BPM 2012), Tallinn, Estonia, vol 940, pp. 40-44, 2012.
[15] F. Veit, J. Geyer-Klingeberg, J. Madrzak, M. Haug, and J. Thomson, "The Proactive Insights Engine: Process Mining meets Machine Learning and Artificial Intelligence," in 15th International Conference on Business Process Management (BPM 2017). BPM Demo Track and BPM Dissertation Award, Barcelona, Spain, vol 1920, pages 5, 2017.
[16] A. Rozinat, "ProM Tips - Which Mining Algorithm Should You Use?", 2010. [Online]. Available: https://fluxicon.com/blog/2010/10/prom-tips-mining-algorithm/. [Accessed: 25 Mar 2018].
[17] A. Burattin, "Process Mining for Stream Data Sources,". in Process Mining Techniques in Business Environments. Lecture Notes in Business Information Processing, Cham, Springer, vol 207, pp. 177-204, 2015.
[18] O. Mulesa, F. Geche, A. Batyuk, and V. Buchok, "Development of Combined Information Technology for Time Series Prediction," in Advances in Intelligent Systems and Computing II (CSIT 2017), Lviv, Ukraine, vol 689, pp. 361-373, 2017.
[19] P. Bydyuk, A. Gozhyj, I. Kalinina, and V. Gozhyj, "Analysis of unsertainty types for model building and forecasting dynamic processes," in Advances in Intelligent Systems and Computing II (CSIT 2017), Lviv, Ukraine, vol 689, pp.66-82, 2017.
[20] Ye. Bodyanskiy, I. P. Pliss, D. Peleshko, Yu. Rashkevych, and O. Vynokurova, "Hybrid Generalized Additive Wavelet-Neuro-FuzzySystem and its Adaptive Learning," in The Eleventh International Conference on Dependability and Complex Systems DepCoSRELCOMEX., Brunow, Poland, pp. 51-61, 2016.
[21] Ye. Bodyanskiy, G. Setlak, D. Peleshko, and O. Vynokurova, "Hybrid Generalized Additive Neuro-Fuzzy System and its Adaptive Learning Algorithms," 8th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Warsaw, Poland, pp. 328-333, 2015.
[22] "Showcase: SAP Process Mining by Celonis", [Online]. Available: https://www.sap.com/developer/showcases/process-mining-bycelonis.html. [Accessed: 25 Mar 2018].
[23] T. Teslyuk, I. Tsmots, V. Teslyuk, M. Medykovskyy, and Y. Opotyak, "Architecture and Models for System-Level ComputerAided Design of the Management System of Energy Efficiency of Technological Processes at the Enterprise in Advances," in Intelligent Systems and Computing II. CSIT 2017, Lviv, Ukraine, vol 689, pp. 538-557, 2017.
Content type: Conference Abstract
Appears in Collections:Data stream mining and processing : proceedings of the IEEE second international conference

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