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Process Mining

Data Science in Action
BuchGebunden
467 Seiten
Englisch
Springererschienen am26.04.20162. Aufl.
Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives.mehr
Verfügbare Formate
BuchGebunden
EUR80,24
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextNext, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives.
ZusammenfassungThe first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool destined to play a key role in business process management.
Details
ISBN/GTIN978-3-662-49850-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2016
Erscheinungsdatum26.04.2016
Auflage2. Aufl.
Seiten467 Seiten
SpracheEnglisch
Gewicht882 g
IllustrationenXIX, 467 p. 250 illus., 13 illus. in color.
Artikel-Nr.37684726

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Preliminaries.- From Event Logs to Process Models.- Beyond Process Discovery.- Putting Process Mining to Work.- Reflection.- Epilogue.mehr
Kritik
"The author of the book, Wil van der Aalst, is very knowledgeable in the area. ... His research interests are workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. ... I enjoyed reading the book and learned about process mining. It will be helpful to researchers and industry professionals working on fields related to business processes such as business intelligence and workflow management." (Gulustan Dogan, Computing Reviews, March, 2017)mehr

Schlagworte

Autor


Wil van der Aalst is a full professor at the Department of Mathematics & Computer Science of the Technische Universiteit Eindhoven (TU/e), The Netherlands, where he chairs the Architecture of Information Systems (AIS) group and serves as the scientific director of the Data Science Center Eindhoven. He also has a part-time appointment in the BPM group of Queensland University of Technology (QUT), Australia. His research and teaching interests include information systems, business process management, process modeling, Petri nets, process mining, and simulation.

Wil has published more than 180 journal papers, 19 books, 425 refereed conference or workshop publications, and 60 book chapters. Many of his papers are highly cited (he has a H-index of more than 123 according to Google Scholar, the highest among all European computer scientists) and his ideas on process support have influenced researchers, software developers, and standardization committees worldwide.