Ebook Free Process Mining: Data Science in Action
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Process Mining: Data Science in Action
Ebook Free Process Mining: Data Science in Action
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Review
“The author of the book, Wil van der Aalst, is very knowledgeable in the area. … His research interests are workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. … I enjoyed reading the book and learned about process mining. It will be helpful to researchers and industry professionals working on fields related to business processes such as business intelligence and workflow management.†(Gulustan Dogan, Computing Reviews, March, 2017)
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From the Back Cover
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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Product details
Hardcover: 467 pages
Publisher: Springer; 2nd ed. 2016 edition (April 16, 2016)
Language: English
ISBN-10: 9783662498507
ISBN-13: 978-3662498507
ASIN: 3662498502
Product Dimensions:
6.1 x 1.1 x 9.2 inches
Shipping Weight: 1.9 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#666,380 in Books (See Top 100 in Books)
Great book, perfect balance between theory and everyday examples.I wish this book was in a bigger format; the graphics and the font are very small, at least for me.I recommend also taking the coursera Process Mining course by this author.
Great primer to the field.
Awesome book
Comprehensive, easy to understand, a little sense but I like that. I took his coursera course and bought the text to go with it. Great buy!
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