Process Mining

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.

Process Mining

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.

More Books:

Process Mining in Action
Language: en
Pages: 207
Authors: Lars Reinkemeyer
Categories: Computers
Type: BOOK - Published: 2020-03-14 - Publisher: Springer Nature

This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the
Process Mining
Language: en
Pages: 467
Authors: Wil M. P. van der Aalst
Categories: Computers
Type: BOOK - Published: 2016-04-15 - Publisher: Springer

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
Process Mining Workshops
Language: en
Pages: 400
Authors: Sander Leemans, Henrik Leopold
Categories: Computers
Type: BOOK - Published: 2021-05-01 - Publisher: Springer Nature

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic. The
Process Mining Techniques in Business Environments
Language: en
Pages: 220
Authors: Andrea Burattin
Categories: Computers
Type: BOOK - Published: 2015-05-12 - Publisher: Springer

After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first
A Primer on Process Mining
Language: en
Pages: 96
Authors: Diogo R. Ferreira
Categories: Business & Economics
Type: BOOK - Published: 2020-02-27 - Publisher: Springer Nature

The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the