A primer on process mining : practical skills with Python and Graphviz /

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Bibliographic Details
Author / Creator:Ferreira, Diogo R., author.
Imprint:Cham, Switzerland : Springer, [2017]
©2017
Description:1 online resource
Language:English
Series:SpringerBriefs in Information Systems, 2192-4929
SpringerBriefs in information systems,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11308280
Hidden Bibliographic Details
ISBN:9783319564272
3319564277
9783319564265
3319564269
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed June 26, 2017).
Summary:"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 behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic."--
Other form:Print version: Ferreira, Diogo R. Primer on process mining. Cham, Switzerland : Springer, [2017] 9783319564265 3319564269
Standard no.:10.1007/978-3-319-56427-2