C
CW Christian Günther
Researcher at Eindhoven University of Technology
Publications - 37
Citations - 5106
CW Christian Günther is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Process mining & Business process discovery. The author has an hindex of 26, co-authored 37 publications receiving 4606 citations. Previous affiliations of CW Christian Günther include Kyung Hee University.
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Book ChapterDOI
Process Mining Manifesto
Wil M. P. van der Aalst,Wil M. P. van der Aalst,A Arya Adriansyah,Ana Karla Alves de Medeiros,Franco Arcieri,Thomas Baier,Tobias Blickle,Jagadeesh Chandra Bose,Peter van den Brand,Ronald Brandtjen,Joos C. A. M. Buijs,Andrea Burattin,Josep Carmona,Malu Castellanos,Jan Claes,Jonathan Cook,Nicola Costantini,Francisco Curbera,Ernesto Damiani,Massimiliano de Leoni,Pavlos Delias,Boudewijn F. van Dongen,Marlon Dumas,Schahram Dustdar,Dirk Fahland,Diogo R. Ferreira,Walid Gaaloul,Frank van Geffen,Sukriti Goel,CW Christian Günther,Antonella Guzzo,Paul Harmon,Arthur H. M. ter Hofstede,Arthur H. M. ter Hofstede,John Hoogland,Jon Espen Ingvaldsen,Koki Kato,Rudolf Kuhn,Akhil Kumar,Marcello La Rosa,Fabrizio Maria Maggi,Donato Malerba,RS Ronny Mans,Alberto Manuel,Martin McCreesh,Paola Mello,Jan Mendling,Marco Montali,Hamid Reza Motahari-Nezhad,Michael zur Muehlen,Jorge Munoz-Gama,Luigi Pontieri,Joel Ribeiro,A Anne Rozinat,Hugo Seguel Pérez,Ricardo Seguel Pérez,Marcos Sepúlveda,Jim Sinur,Pnina Soffer,Minseok Song,Alessandro Sperduti,Giovanni Stilo,Casper Stoel,Keith D. Swenson,Maurizio Talamo,Wei Tan,Christopher Turner,Jan Vanthienen,George Varvaressos,Eric Verbeek,Marc Verdonk,Roberto Vigo,Jianmin Wang,Barbara Weber,Matthias Weidlich,Ton Weijters,Lijie Wen,Michael Westergaard,Moe Thandar Wynn +78 more
TL;DR: This manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users to increase the maturity of process mining as a new tool to improve the design, control, and support of operational business processes.
Book ChapterDOI
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
TL;DR: A new process mining approach is proposed that is configurable and allows for different faithfully simplifiedviews of a particular process, just like different roadmaps provide suitable abstractions of reality.
Journal ArticleDOI
Process mining : a two-step approach to balance between underfitting and overfitting
van der Wmp Wil Aalst,Vladimir A. Rubin,Hmw Eric Verbeek,van Bf Boudewijn Dongen,Ekkart Kindler,CW Christian Günther +5 more
TL;DR: The two-step process mining approach, implemented in the context of ProM, overcomes many of the limitations of traditional approaches and enables the user to control the balance between “overfitting” and “underfitting’.
Process mining : A two-step approach to balance between underfitting and overfitting
van der Wmp Wil Aalst,Vladimir A. Rubin,Hmw Eric Verbeek,van Bf Boudewijn Dongen,Ekkart Kindler,CW Christian Günther +5 more
TL;DR: In this article, the authors propose a two-step approach, using a configurable approach, a transition system is constructed and then, using the "theory of regions", the model is synthesized.
Book ChapterDOI
Trace Clustering in Process Mining
TL;DR: This paper presents an approach using trace clustering, i.e., the event log is split into homogeneous subsets and for each subset a process model is created, and demonstrates that this approach can improve process mining results in real flexible environments.