| 書目名稱 | Process Mining | | 副標(biāo)題 | Data Science in Acti | | 編輯 | Wil van der Aalst | | 視頻video | http://file.papertrans.cn/759/758972/758972.mp4 | | 概述 | First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline.This second | | 圖書封面 |  | | 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 m | | 出版日期 | Book 2016Latest edition | | 關(guān)鍵詞 | Business Information Systems; Business Intelligence; Business Process Management; Data Mining; Workflow | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-662-49851-4 | | isbn_softcover | 978-3-662-57041-8 | | isbn_ebook | 978-3-662-49851-4 | | copyright | Springer-Verlag Berlin Heidelberg 2016 |
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