31 results on '"Weidlich, Matthias"'
Number of results to display per page
Search Results
2. Process Mining Workshops
- Author
-
Montali, Marco, Senderovich, Arik, and Weidlich, Matthias
- Subjects
process mining ,process discovery ,process analytics ,process querying ,conformance checking ,predictive process monitoring ,data science ,knowledge graphs ,event data ,streaming analytics ,machine learning ,deep learning ,business process management ,health informatics ,thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ,thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ,thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ,thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ,thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects - Abstract
This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
- Published
- 2023
- Full Text
- View/download PDF
3. Process Mining Manifesto
- Author
-
van der Aalst, Wil, Adriansyah, Arya, de Medeiros, Ana Karla Alves, Arcieri, Franco, Baier, Thomas, Blickle, Tobias, Bose, Jagadeesh Chandra, van den Brand, Peter, Brandtjen, Ronald, Buijs, Joos, Burattin, Andrea, Carmona, Josep, Castellanos, Malu, Claes, Jan, Cook, Jonathan, Costantini, Nicola, Curbera, Francisco, Damiani, Ernesto, de Leoni, Massimiliano, Delias, Pavlos, van Dongen, Boudewijn F., Dumas, Marlon, Dustdar, Schahram, Fahland, Dirk, Ferreira, Diogo R., Gaaloul, Walid, van Geffen, Frank, Goel, Sukriti, Günther, Christian, Guzzo, Antonella, Harmon, Paul, ter Hofstede, Arthur, Hoogland, John, Ingvaldsen, Jon Espen, Kato, Koki, Kuhn, Rudolf, Kumar, Akhil, La Rosa, Marcello, Maggi, Fabrizio, Malerba, Donato, Mans, Ronny S., Manuel, Alberto, McCreesh, Martin, Mello, Paola, Mendling, Jan, Montali, Marco, Motahari-Nezhad, Hamid R., zur Muehlen, Michael, Munoz-Gama, Jorge, Pontieri, Luigi, Ribeiro, Joel, Rozinat, Anne, Seguel Pérez, Hugo, Seguel Pérez, Ricardo, Sepúlveda, Marcos, Sinur, Jim, Soffer, Pnina, Song, Minseok, Sperduti, Alessandro, Stilo, Giovanni, Stoel, Casper, Swenson, Keith, Talamo, Maurizio, Tan, Wei, Turner, Chris, Vanthienen, Jan, Varvaressos, George, Verbeek, Eric, Verdonk, Marc, Vigo, Roberto, Wang, Jianmin, Weber, Barbara, Weidlich, Matthias, Weijters, Ton, Wen, Lijie, Westergaard, Michael, Wynn, Moe, van der Aalst, Wil, Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Daniel, Florian, editor, Barkaoui, Kamel, editor, and Dustdar, Schahram, editor
- Published
- 2012
- Full Text
- View/download PDF
4. Isotactics as a Foundation for Alignment and Abstraction of Behavioral Models
- Author
-
Polyvyanyy, Artem, Weidlich, Matthias, Weske, Mathias, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Barros, Alistair, editor, Gal, Avigdor, editor, and Kindler, Ekkart, editor
- Published
- 2012
- Full Text
- View/download PDF
5. Behavioral Similarity – A Proper Metric
- Author
-
Kunze, Matthias, Weidlich, Matthias, Weske, Mathias, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Rinderle-Ma, Stefanie, editor, Toumani, Farouk, editor, and Wolf, Karsten, editor
- Published
- 2011
- Full Text
- View/download PDF
6. Business Process Model Abstraction Based on Behavioral Profiles
- Author
-
Smirnov, Sergey, Weidlich, Matthias, Mendling, Jan, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Maglio, Paul P., editor, Weske, Mathias, editor, Yang, Jian, editor, and Fantinato, Marcelo, editor
- Published
- 2010
- Full Text
- View/download PDF
7. Action Patterns in Business Process Models
- Author
-
Smirnov, Sergey, Weidlich, Matthias, Mendling, Jan, Weske, Mathias, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Baresi, Luciano, editor, Chi, Chi-Hung, editor, and Suzuki, Jun, editor
- Published
- 2009
- Full Text
- View/download PDF
8. 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, Teniente, Ernest, Weidlich, Matthias, Accounting & Information Management, RS: GSBE Theme Creativity, Innovation & Entrepreneurship, and RS: GSBE Theme Data-Driven Decision-Making
- Subjects
Flexibility (engineering) ,Business process life cycle ,Engineering ,Reflection (computer programming) ,Process management ,Requirements engineering ,business.industry ,Business process ,020209 energy ,Perspective (graphical) ,l86 - "Information and Internet Services ,Computer Software" ,Agile Flexible processes ,02 engineering and technology ,Business process management ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Information and Internet Services ,Computer Software ,business ,Agile software development - Abstract
The paper points out some aspects of the interrelations between business process management, agility, flexibility, and requirements engineering. It shows some possibilities for agile development of business processes and for the development of flexible processes for changing requirements.
- Published
- 2018
9. Introduction to the 3rd International Workshop on Interrelations Between Requirements Engineering and Business Process Management (REBPM’17)
- Author
-
Weissbach, Rüdiger, Aysolmaz, Banu, Heinrich, Robert, Teniente, Ernest, Weidlich, Matthias, Accounting & Information Management, RS: GSBE AIM, RS: GSBE Theme Creativity, Innovation & Entrepreneurship, and RS: GSBE Theme Data-Driven Decision-Making
- Subjects
Agile ,Business process management ,l86 - "Information and Internet Services ,Computer Software" ,requirements engineering - Abstract
Many challenges in business process management (BPM) are attributed to the first phase of the BPM lifecycle; process discovery. Process discovery is found to be an essential part of requirements engineering (RE) in software development. Typically, process models are developed as the deliverables of this phase. In recent years, agile principles are being used to overcome challenges in software development projects. As BPM and RE activities are so tightly-knit, agile principles may also be used to address challenges in process modeling projects. The purpose of this workshop was to examine the interrelations between requirements engineering and business process management with an agility perspective and investigate how agile principles may change the BPM phases. Out of the eight high-quality submissions we received, three of them were accepted as regular papers and three as short papers. The presenters and participants created a fruitful discussion environment on examining agility in the context of BPM.
- Published
- 2018
10. Survey on BPM Conference impression
- Author
-
Recker, Jan C., Weidlich, Matthias, and Motahari, Hamid
- Subjects
BPM ,150302 Business Information Systems ,Conference ,Academic Disciplines ,080610 Information Systems Organisation ,130399 Specialist Studies in Education not elsewhere classified ,Survey ,Business Process Management - Abstract
In May/June 2014, the Program Committee Chairs of BPM’15 conducted a survey with present and past attendees and submitters to the BPM conference to gather feedback on the general perception of the conference. The survey is available at http://survey.qut.edu.au/f/180586/6bb1/. In particular, the survey included questions about the reputation of the conference, the reasons why survey participants submitted papers, whether they plan to submit to BPM’15, and soliciting input on a number of suggested changes and additions to the conduct of the conference series.
- Published
- 2014
11. Querying process models by behavior inclusion.
- Author
-
Kunze, Matthias, Weidlich, Matthias, and Weske, Mathias
- Subjects
- *
QUERYING (Computer science) , *BUSINESS process management , *BUSINESS models , *INFORMATION modeling , *SEMANTICS ,COMPUTERS in industrial management ,INDUSTRIAL management software - Abstract
Business processes are vital to managing organizations as they sustain a company's competitiveness. Consequently, these organizations maintain collections of hundreds or thousands of process models for streamlining working procedures and facilitating process implementation. Yet, the management of large process model collections requires effective searching capabilities. Recent research focused on similarity search of process models, but querying process models is still a largely open topic. This article presents an approach to querying process models that takes a process example as input and discovers all models that allow replaying the behavior of the query. To this end, we provide a notion of behavioral inclusion that is based on trace semantics and abstraction. Additional to deciding a match, a closeness score is provided that describes how well the behavior of the query is represented in the model and can be used for ranking. The article introduces the formal foundations of the approach and shows how they are applied to querying large process model collections. An experimental evaluation has been conducted that confirms the suitability of the solution as well as its applicability and scalability in practice. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
12. Styles in business process modeling: an exploration and a model.
- Author
-
Pinggera, Jakob, Soffer, Pnina, Fahland, Dirk, Weidlich, Matthias, Zugal, Stefan, Weber, Barbara, Reijers, Hajo, and Mendling, Jan
- Subjects
BUSINESS models ,BUSINESS process management ,CLUSTER analysis (Statistics) ,BUSINESS planning ,SEMANTICS (Philosophy) ,DOCUMENT clustering - Abstract
Business process models are an important means to design, analyze, implement, and control business processes. As with every type of conceptual model, a business process model has to meet certain syntactic, semantic, and pragmatic quality requirements to be of value. For many years, such quality aspects were investigated by centering on the properties of the model artifact itself. Only recently, the process of model creation is considered as a factor that influences the resulting model's quality. Our work contributes to this stream of research and presents an explorative analysis of the process of process modeling (PPM). We report on two large-scale modeling sessions involving 115 students. In these sessions, the act of model creation, i.e., the PPM, was automatically recorded. We conducted a cluster analysis on this data and identified three distinct styles of modeling. Further, we investigated how both task- and modeler-specific factors influence particular aspects of those modeling styles. Based thereupon, we propose a model that captures our insights. It lays the foundations for future research that may unveil how high-quality process models can be established through better modeling support and modeling instruction. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
13. Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study : Case Study
- Author
-
Benevento, Elisabetta, Pegoraro, Marco, Antoniazzi, Mattia, Beyel, Harry H., Peeva, Viki, Balfanz, Paul, van der Aalst, Wil M. P., Martin, Lukas, Marx, Gernot, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Montali, Marco, editor, Senderovich, Arik, editor, and Weidlich, Matthias, editor
- Published
- 2023
- Full Text
- View/download PDF
14. LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks
- Author
-
Lahann, Johannes, Pfeiffer, Peter, Fettke, Peter, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Montali, Marco, editor, Senderovich, Arik, editor, and Weidlich, Matthias, editor
- Published
- 2023
- Full Text
- View/download PDF
15. Process Mining Workshops. ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers.
- Author
-
Montali, Marco, Senderovich, Arik, Weidlich, Matthias, and Montali, Marco
- Subjects
Data mining ,Business mathematics & systems ,Machine learning ,Information technology: general issues ,Health & safety aspects of IT ,process mining ,process discovery ,process analytics ,process querying ,conformance checking ,predictive process monitoring ,data science ,knowledge graphs ,event data ,streaming analytics ,machine learning ,deep learning ,business process management ,health informatics - Abstract
Summary: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23-28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: - 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) - 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) - 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) - 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) - 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) - 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) - 1st International Workshop on Education meets Process Mining (EduPM) - 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
16. To aggregate or to eliminate? Optimal model simplification for improved process performance prediction.
- Author
-
Senderovich, Arik, Shleyfman, Alexander, Weidlich, Matthias, Gal, Avigdor, and Mandelbaum, Avishai
- Subjects
- *
OPTIMAL control theory , *PROCESS mining , *BUSINESS process management , *PERFORMANCE management , *KEY performance indicators (Management) - Abstract
Highlights • A technique for performance-driven model reduction of GSPNs is proposed. • The technique relies on foldings that aggregate or eliminate performance information. • Foldings preserve model stability and have a bound for the introduced performance estimation error. • Given a budget for the estimation error, an optimal sequence of foldings can be found. Abstract Operational process models such as generalised stochastic Petri nets (GSPNs) are useful when answering performance questions about business processes (e.g. ‘how long will it take for a case to finish?’). Recently, methods for process mining have been developed to discover and enrich operational models based on a log of recorded executions of processes, which enables evidence-based process analysis. To avoid a bias due to infrequent execution paths, discovery algorithms strive for a balance between over-fitting and under-fitting regarding the originating log. However, state-of-the-art discovery algorithms address this balance solely for the control-flow dimension, neglecting the impact of their design choices in terms of performance measures. In this work, we thus offer a technique for controlled performance-driven model reduction of GSPNs, using structural simplification rules, namely foldings. We propose a set of foldings that aggregate or eliminate performance information. We further prove the soundness of these foldings in terms of stability preservation and provide bounds on the error that they introduce with respect to the original model. Furthermore, we show how to find an optimal sequence of simplification rules, such that their application yields a minimal model under a given error budget for performance estimation. We evaluate the approach with two real-world datasets from the healthcare and telecommunication domains, showing that model simplification indeed enables a controlled reduction of model size, while preserving performance metrics with respect to the original model. Moreover, we show that aggregation dominates elimination when abstracting performance models by preventing under-fitting due to information loss. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
17. 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
- Full Text
- View/download PDF
18. Cognitive Computing: What’s in for Business Process Management? An Exploration of Use Case Ideas
- Author
-
Roeglinger, Maximilian, Seyfried, Johannes, Stelzl, Simon, Muehlen, Michael zur, 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
- Full Text
- View/download PDF
19. A Systematic Literature Review of the Use of Social Media for Business Process Management
- Author
-
Prodanova, Jana, Van Looy, Amy, 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
- Full Text
- View/download PDF
20. 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
- Full Text
- View/download PDF
21. 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
- Full Text
- View/download PDF
22. 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
- Full Text
- View/download PDF
23. 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
- Full Text
- View/download PDF
24. Preface to BPM 2015.
- Author
-
Motahari-Nezhad, Hamid Reza, Recker, Jan, and Weidlich, Matthias
- Subjects
- *
BUSINESS process management , *BIG data , *COMPUTER algorithms , *PROBABILITY theory , *ELECTRONIC data processing - Published
- 2017
- Full Text
- View/download PDF
25. Extending BPMN 2.0 for Modelling the Combination of Activities That Involve Data Constraints
- Author
-
Parody, Luisa, Gómez-López, María Teresa, M. Gasca, Rafael, van der Aalst, Wil, editor, Mylopoulos, John, editor, Rosemann, Michael, editor, Shaw, Michael J., editor, Szyperski, Clemens, editor, Mendling, Jan, editor, and Weidlich, Matthias, editor
- Published
- 2012
- Full Text
- View/download PDF
26. A Platform for Research on Process Model Collections
- Author
-
Eid-Sabbagh, Rami-Habib, Kunze, Matthias, Meyer, Andreas, Weske, Mathias, van der Aalst, Wil, editor, Mylopoulos, John, editor, Rosemann, Michael, editor, Shaw, Michael J., editor, Szyperski, Clemens, editor, Mendling, Jan, editor, and Weidlich, Matthias, editor
- Published
- 2012
- Full Text
- View/download PDF
27. The Role of BPMN in a Modeling Methodology for Dynamic Process Solutions
- Author
-
Koehler, Jana, van der Aalst, Will, Series editor, Mylopoulos, John, Series editor, Sadeh, Norman M., Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, Mendling, Jan, editor, Weidlich, Matthias, editor, and Weske, Mathias, editor
- Published
- 2010
- Full Text
- View/download PDF
28. 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
29. 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
30. Dynamic weaving of aspects for business process management systems
- Author
-
Jalali, Amin, Wohed, Petia, Ouyang, Chun, Mendling, Jan, and Weidlich, Matthias
- Subjects
Coloured petri nets ,Weaving ,Business process management ,Aspect Oriented ,Workflow Management Systems ,080600 INFORMATION SYSTEMS - Abstract
Reducing complexity in Information Systems is a main concern in both research and industry. One strategy for reducing complexity is separation of concerns. This strategy advocates separating various concerns, like security and privacy, from the main concern. It results in less complex, easily maintainable, and more reusable Information Systems. Separation of concerns is addressed through the Aspect Oriented paradigm. This paradigm has been well researched and implemented in programming, where languages such as AspectJ have been developed. However, the rsearch on aspect orientation for Business Process Management is still at its beginning. While some efforts have been made proposing Aspect Oriented Business Process Modelling, it has not yet been investigated how to enact such process models in a Workflow Management System. In this paper, we define a set of requirements that specifies the execution of aspect oriented business process models. We create a Coloured Petri Net specification for the semantics of so-called Aspect Service that fulfils these requirements. Such a service extends the capability of a Workflow Management System with support for execution of aspect oriented business process models. The design specification of the Aspect Service is also inspected through state space analysis.
- Published
- 2012
31. Aspect oriented business process modeling with precedence
- Author
-
Petia Wohed, Chun Ouyang, Amin Jalali, Mendling, Jan, and Weidlich, Matthias
- Subjects
Process modeling ,Business Process Modeling ,business.industry ,Management science ,Business process ,Computer science ,Aspect-oriented programming ,Separation of concerns ,Software development ,BPMN ,Business process modeling ,Aspect oriented ,Business process management ,Business Process Model and Notation ,Risk analysis (engineering) ,business ,080600 INFORMATION SYSTEMS - Abstract
Complexity is a major concern which is aimed to be overcome by people through modelling. One way of reducing complexity is separation of concerns, e.g. separation of business process from applications. One sort of concerns are cross-cutting concerns i.e. concerns which are scattered and tangled through one or several models. In business process management, examples of such concerns are security and privacy policies. To deal with these cross-cutting concerns, the aspect orientated approach was introduced in the software development area and recently also in the business process management area. The work presented in this paper elaborates on aspect oriented process modelling. It extends earlier work by defining a mechanism for capturing multiple concerns and specifying a precedence order according to which they should be handled in a process. A formal syntax of the notation is presented precisely capturing the extended concepts and mechanisms. Finally, the relevance of the approach is demonstrated through a case study.
- Published
- 2012
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.