Process Mining: Data Science in Action, 2/e (Hardcover)

Wil M. P. van der Aalst

商品描述

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.

 

商品描述(中文翻譯)

這是Wil van der Aalst關於流程挖掘的重要著作的第二版,現在也在更廣泛的數據科學和大數據方法的背景下討論這個領域。它包括了一些新增和更新的內容,例如歸納挖掘技術、對齊概念、關於軟體工具的大幅擴展部分以及全新的大型流程挖掘章節。這本書是自成一體的,同時涵蓋了從流程發現到預測分析的整個流程挖掘領域。

在第一部分對數據科學和流程挖掘進行了一般介紹之後,第二部分提供了理解本書其餘部分所需的業務流程建模和數據挖掘的基礎知識。接下來,第三部分專注於流程發現作為最重要的流程挖掘任務,而第四部分則超越了對流程控制流的發現,突出了符合性檢查以及組織和時間視角。第五部分提供了成功應用流程挖掘的指南,包括對廣泛使用的開源工具ProM和幾個商業產品的介紹。最後,第六部分回顧了所呈現的材料和關鍵的開放挑戰。

總的來說,這本書全面介紹了流程挖掘的最新技術。它適用於業務流程分析師、業務顧問、流程經理、研究生和BPM研究人員。