Wil M.P. van der Aalst; Boualem Benatallah; Fabio Casati; Francisco Curbera Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005) 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
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; Dmitry I. Ignatov; Michael Khachay; Sergei O. Kuznetsov; Victor Lempitsky; Irina A. Lomazova; Louk Springer International Publishing AG (2017) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Goran Glavaš; Dmitry I. Ignatov; Michael Khachay; Sergei O. Kuznetsov; Koltsov Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry I. Ignatov; Michael Khachay; Valentina Kuskova; Andrey Kutuzov; Kuznets Springer Nature Switzerland AG (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 (ed.); Vladimir Batagelj (ed.); Alexey Buzmakov (ed.); Dmitry I. Ignatov (ed.); Anna (ed. Kalenkova Springer (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
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 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.
