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Process Mining: Data Science in Action
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Process Mining: Data Science in Action
BOOK DETAIL
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business account Hardcover: 486 pages Publisher: Springer; 2nd ed. 2016 edition (April 26, 2016) Language:
English ISBN-10: 9783662498507 ISBN-13: 978-3662498507 ASIN: 3662498502 Product Dimensions: 6.1
x 1.1 x 9.2 inches
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Book Description
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, e.g. 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.

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