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workshop on mining process topics

Call for Workshop Proposals Process Mining Conference

Workshops facilitate the exchange of ideas and experiences among active researchers and vendors, and stimulate discussions on new and emerging perspectives in Process Mining. Workshop proposals that expand the scope of topics and paradigms represented at the main conference and, in particular, that cover broad topic are encouraged.

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ICPM workshops IEEE Task Force on Process Mining

The main themes include automated process modeling, predictive process mining, application of deep learning techniques, and online process mining. 1st International Workshop on Trust and Privacy in Process Analytics (TPPA) Process mining has been successfully applied in all kinds of environments. However, the impact of trust and privacy on the technical design as well as on the

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Process Mining Camp 2020 — hosted by Fluxicon

In 2013, we moved Process Mining Camp to the Zwarte Doos and added workshops, and we had a great day with more than 100 process mining enthusiasts from all over the world. In 2014, camp tickets sold out very quickly, and process mining enthusiasts from more than 16 countries came for a varied program including workshops, keynotes, and a panel discussion. In 2015, we moved to the

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ML4PM 2020 : International Workshop on Leveraging

This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count

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Workshops Process Mining Conference 2020

The 2nd International Conference in Process Mining (ICPM 2020) will be complemented by six workshops, all covering some segment(s) of the field of Process Mining: 1st International Workshop on Event Data and Behavioral Analytics (EDBA) by Benoît Depaire, Dirk Fahland, Massimo Mecella, Arik Senderovich

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Process Mining Call For Papers for Conferences, Workshops

Special session on Process Mining at CIDM 2013: Apr 15, 2013 Apr 19, 2013: Singapore: Nov 23, 2012: ACM SAC-EE 2013: ACM SAC 2013 Enterprise Engineering Track : Mar 18, 2013 Mar 22, 2013: Coimbra, Portugal: Sep 28, 2012: R&D ESOS 2012: R&D in E-Business through Service-Oriented Solutions: N/A: N/A: Mar 31, 2012: BPI 2011: 7th International Workshop on Business Process

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CallML4PM2020

This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will

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Workshops Process Mining Conference 2020

The 2nd International Conference in Process Mining (ICPM 2020) will be complemented by six workshops, all covering some segment(s) of the field of Process Mining: 1st International Workshop on Event Data and Behavioral Analytics (EDBA) by Benoît Depaire, Dirk Fahland, Massimo Mecella, Arik Senderovich ; 1st International Workshop on Leveraging Machine Learning in Process Mining

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Process Mining Call For Papers for Conferences,

Special session on Process Mining at CIDM 2013: Apr 15, 2013 Apr 19, 2013: Singapore: Nov 23, 2012: ACM SAC-EE 2013: ACM SAC 2013 Enterprise Engineering Track : Mar 18, 2013 Mar 22, 2013: Coimbra, Portugal: Sep 28, 2012: R&D ESOS 2012: R&D in E-Business through Service-Oriented Solutions: N/A: N/A: Mar 31, 2012: BPI 2011: 7th International Workshop on Business Process

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International Workshop on Data Mining & Knowledge

International workshop on Data Mining & Knowledge Management Process (DKMP-2012) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this workshop is to bring together researchers and practitioners from academia and industry to focus on understanding Modern

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DKMP 2013 The International workshop on Data Mining

The International workshop on Data Mining & Knowledge Management Process (DKMP-2013) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this workshop is to bring together researchers and practitioners from academia and industry to focus on understanding Modern

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KDD-2000 Workshop on Text Mining

KDD-2000 Workshop on Text Mining August 20, 2000 Held at KDD-2000, Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2000, Boston, MA, USA Call for papers (expired) on the following topics was open till May 15, 2000. We received 40 submissions that entered the review process. The list of pre-registered workshop attendees contains

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Workshop on Business Process Intelligence 17th Int

BPI is an area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization. The workshop aims at

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19 questions with answers in PROCESS MINING Science

23/09/2020· I'm in the process of starting my masters thesis, and I would like to research on Educational process Mining area. I need good topics for my research .

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PODS4H Process-Oriented Data Science for Healthcare

Non process-centric approaches will fall out of scope. The workshop aims at both more theoretical contributions such as new techniques and algorithms, and more applied contributions such as methodologies and case studies. The topics of interest include, but are not limited to: Process Mining

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Unleash the value of PROCESS MINING by Thomas Filaire

Process mining significantly lowers the cost of understanding the current process by limiting people interviews and extracting the necessary information out of the existing data from the IT systems. With process mining, the previously mentioned pain points are resolved: 1. Time-efficient: The analyst spends less time on interviews and workshops

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