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Process Mining: Data Science In Action
This is the second edition of Wil van der Aalst's seminal book on process mining which now discusses the field also in the broader context of data science and big data approaches It includes several additions and updates eg on inductive mining techniques the notion of alignments a considerably expanded section on software tools and a completely new chapter of process mining in the large It is self-contained while at the same time 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 highlighting conformance checking and organizational and time perspectives Part V offers a guide to successfully applying process mining in practice including an introduction to the widely used open-source tool ProM and several commercial products Lastly Part VI takes a step back reflecting on the material presented and the key open challenges Overall this book provides a comprehensive overview of the state of the art in process mining It is intended for business process analysts business consultants process managers graduate students and BPM researchers
mining task while Part IV moves beyond discovering the control flow of processes highlighting conformance checking and organizational and time perspectives Part V offers a guide to successfully applying process mining in practice including an introduction to the widely used open-source tool ProM and several commercial products Lastly Part VI takes a step back reflecting on the material presented and the key open challenges Overall this book provides a comprehensive overview of the state of the art in process mining It is intended for business process analysts business consultants process managers graduate students and BPM researchers
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