Process Mining

This is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses the field in the broader context of data science and big data approaches. It includes several additions and updates, such as inductive mining techniques, the notion of alignments, a considerably expanded section on software tools, and a completely new chapter on process mining in the large. It is self-contained while covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. 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.