logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

A Primer On Process Mining Practical Skills With Python And Graphviz 1st Edition Diogo R Ferreira Auth

  • SKU: BELL-5883974
A Primer On Process Mining Practical Skills With Python And Graphviz 1st Edition Diogo R Ferreira Auth
$ 35.00 $ 45.00 (-22%)

4.7

96 reviews

A Primer On Process Mining Practical Skills With Python And Graphviz 1st Edition Diogo R Ferreira Auth instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 2.53 MB
Pages: 101
Author: Diogo R. Ferreira (auth.)
ISBN: 9783319564265, 9783319564272, 3319564269, 3319564277
Language: English
Year: 2017
Edition: 1

Product desciption

A Primer On Process Mining Practical Skills With Python And Graphviz 1st Edition Diogo R Ferreira Auth by Diogo R. Ferreira (auth.) 9783319564265, 9783319564272, 3319564269, 3319564277 instant download after payment.

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. After reading this book, they will be able to more confidently proceed to the research literature if needed.

Related Products