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.
%0 Book
%1 Ferreira17
%A Ferreira, Diogo R.
%B SpringerBriefs in Information Systems
%C Cham
%D 2017
%I Springer
%K 01821 103 springer book ai graphics tool data processing pattern recognition business process workflow analysis
%R 10.1007/978-3-319-56427-2
%T A Primer on Process Mining: Practical Skills with Python and Graphviz
%X 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.
%@ 978-3-319-56426-5
@book{Ferreira17,
abstract = {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.},
added-at = {2017-12-15T20:05:28.000+0100},
address = {Cham},
author = {Ferreira, Diogo R.},
biburl = {https://www.bibsonomy.org/bibtex/204f4bb471e06ba12c6dd2d14513e7fa6/flint63},
doi = {10.1007/978-3-319-56427-2},
file = {SpringerLink:2017/Ferreira17.pdf:PDF;Springer Product page:http\://www.springer.com/978-3-319-56426-5:URL;Springer Pro:https\://www.springerprofessional.de/a-primer-on-process-mining/12456596:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3319564269/:URL},
groups = {public},
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isbn = {978-3-319-56426-5},
issn = {2192-4929},
keywords = {01821 103 springer book ai graphics tool data processing pattern recognition business process workflow analysis},
publisher = {Springer},
series = {SpringerBriefs in Information Systems},
timestamp = {2018-04-16T12:38:50.000+0200},
title = {A Primer on Process Mining: Practical Skills with Python and Graphviz},
username = {flint63},
year = 2017
}