Wil M.P. van der Aalst; Boualem Benatallah; Fabio Casati; Francisco Curbera Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Marco Ajmone Marsan; Giuliana Franceschinis; Jetty Kleijn; Lars M. Kristensen Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Arthur H. M. ter Hofstede; Wil M. P. van der Aalst; Michael Adams; Nick Russell Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014) Pehmeäkantinen kirja
Wil M.P. van der Aalst (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Sergei O. Kuznetsov (ed.); Victor ( Lempitsky Springer (2017) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Goran Glavaš (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.) Springer (2018) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Valentina ( Kuskova Springer (2019) Pehmeäkantinen kirja
Wil M. P. van der Aalst (ed.); Vladimir Batagelj (ed.); Dmitry I. Ignatov (ed.); Michael Khachay (ed.); Valentina ( Kuskova Springer (2020) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Alexey Buzmakov; Dmitry I. Ignatov; Anna Kalenkova; Michael Khachay; Koltsova Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry I. Ignatov; Michael Khachay; Olessia Koltsova; Andrey Kutuzov; Kuznetso Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Arthur H. M. ter Hofstede; Wil M. P. van der Aalst; Michael Adams; Nick Russell Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Kovakantinen kirja
Kurt Jensen; Wil M. P. van der Aalst; Gianfranco Balbo; Maciej Koutny; Karsten Wolf Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013) Pehmeäkantinen kirja
This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022.
This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
