Process Mining: Data Science in Action

Process Mining: Data Science in Action

作者: Wil M. P. van der Aalst
出版社: Springer
出版在: 2016-04-26
ISBN-13: 9783662498507
ISBN-10: 3662498502
裝訂格式: Hardcover
總頁數: 467 頁





內容描述


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.




相關書籍

深度學習:參與世界,改變世界

作者 Michael Fullan 盛群力 陳倫菊 舒越譯

2016-04-26

Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence

作者 Philip Seamark

2016-04-26

Google 教你深度學習:中小企業如何利用會自己學習的電腦?

作者 日經大數據 李青芬 譯

2016-04-26