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Your search keyword '"Weidlich, Matthias"' showing total 11 results
Start Over Author "Weidlich, Matthias" Topic business process management Publisher springer international publishing
11 results on '"Weidlich, Matthias"'

1. Actionable Conformance Checking: From Intuitions to Code

Author

Carmona, Josep, Weidlich, Matthias, Dongen, Boudewijn van, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Rosemann, Michael, Series Editor, Shaw, Michael J., Series Editor, Szyperski, Clemens, Series Editor, Kutsche, Ralf-Detlef, editor, and Zimányi, Esteban, editor

Published
2020
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2. A Reflection on the Interrelations Between Business Process Management and Requirements Engineering with an Agility Perspective

Author

Aysolmaz, Banu, Gürsul, Mehmet, Kirchner, Kathrin, Laue, Ralf, Mertens, Robert, Reher, Felix, Schönreiter, Irene M., Turban, Bernhard M., Weißbach, Rüdiger, van der Aalst, Wil M. P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Teniente, Ernest, editor, and Weidlich, Matthias, editor

Published
2018
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3. Design-Time Analysis of Data Inaccuracy Awareness at Runtime

Author

Evron, Yotam, Soffer, Pnina, Zamansky, Anna, van der Aalst, Wil M. P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Teniente, Ernest, editor, and Weidlich, Matthias, editor

Published
2018
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6. A Visualization of Human Physical Risks in Manufacturing Processes Using BPMN

Author

Polderdijk, Melanie, Vanderfeesten, Irene, Erasmus, Jonnro, Traganos, Kostas, Bosch, Tim, van Rhijn, Gu, Fahland, Dirk, van der Aalst, Wil M. P., Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Teniente, Ernest, editor, and Weidlich, Matthias, editor

Published
2018
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7. Efficient Process Model Discovery Using Maximal Pattern Mining

Author

Liesaputra, Veronica, Yongchareon, Sira, Chaisiri, Sivadon, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Motahari-Nezhad, Hamid Reza, editor, Recker, Jan, editor, and Weidlich, Matthias, editor

Published
2015
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8. Incorporating Negative Information in Process Discovery

Author

Ponce-de-León, Hernan, Carmona, Josep, vanden Broucke, Seppe K. L. M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Motahari-Nezhad, Hamid Reza, editor, Recker, Jan, editor, and Weidlich, Matthias, editor

Published
2015
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9. Inspection Coming Due! How to Determine the Service Interval of Your Processes!

Author

Manderscheid, Jonas, Reißner, Daniel, Röglinger, Maximilian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Motahari-Nezhad, Hamid Reza, editor, Recker, Jan, editor, and Weidlich, Matthias, editor

Published
2015
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10. A Systematic Literature Review of the Use of Social Media for Business Process Management

Author

Amy Van Looy, Jana Prodanova, Teniente, Ernest, and Weidlich, Matthias

Subjects
Collaborative BPM, Knowledge management, Process (engineering), Business process, business.industry, Emerging technologies, 05 social sciences, Variety (cybernetics), Application lifecycle management, Business and Economics, Social media, Business process management, Business 2.0, Omnichannel, Social BPM, 0502 economics and business, Lifecycle management, 050211 marketing, business, Business Process Management, 050203 business & management
Abstract

In today’s expansion of new technologies, innovation is found necessary for organizations to be up to date with the latest management trends. Although organizations are increasingly using new technologies, opportunities still exist to achieve the nowadays essential omnichannel management strategy. More precisely, social media are opening a path for benefiting more from an organization’s process orientation. However, social media strategies are still an under-investigated field, especially when it comes to the research of social media use for the management and improvement of business processes or the internal way of working in organizations. By classifying a variety of articles, this study explores the evolution of social media implementation within the BPM discipline. We also provide avenues for future research and strategic implications for practitioners to use social media more comprehensively.

Published
2018

11. Fast and accurate business process drift detection

Author

Alireza Ostovar, Marlon Dumas, Marcello La Rosa, Abderrahmane Maaradji, Motahari-Nezhad, Hamid Reza, Recker, Jan, and Weidlich, Matthias

Subjects
Engineering, business.industry, Business process, Event (computing), Feature vector, Real-time computing, process mining, Process (computing), Window (computing), Workload, business process management, computer.software_genre, concept drift, Sizing, statistical test, Data mining, 080608 Information Systems Development Methodologies, business, chi square, computer, 080600 INFORMATION SYSTEMS, Statistical hypothesis testing
Abstract

Business processes are prone to continuous and unexpected changes. Process workers may start executing a process differently in order to adjust to changes in workload, season, guidelines or regulations for example. Early detection of business process changes based on their event logs --- also known as business process drift detection --- enables analysts to identify and act upon changes that may otherwise affect process performance. Previous methods for business process drift detection are based on an exploration of a potentially large feature space and in some cases they require users to manually identify the specific features that characterize the drift. Depending on the explored feature set, these methods may miss certain types of changes. This paper proposes a fully automated and statistically grounded method for detecting process drift. The core idea is to perform statistical tests over the distributions of runs observed in two consecutive time windows. By adaptively sizing the window, the method strikes a trade-off between classification accuracy and drift detection delay. A validation on synthetic and real-life logs shows that the method accurately detects typical change patterns and scales up to the extent that it works for online drift detection.

Published
2015

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