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The Resource A Primer on Process Mining : Practical Skills with Python and Graphviz

A Primer on Process Mining : Practical Skills with Python and Graphviz

Label
A Primer on Process Mining : Practical Skills with Python and Graphviz
Title
A Primer on Process Mining
Title remainder
Practical Skills with Python and Graphviz
Creator
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
SpringerBriefs in Information Systems Ser
A Primer on Process Mining : Practical Skills with Python and Graphviz
Label
A Primer on Process Mining : Practical Skills with Python and Graphviz
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4882125
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- Contents -- 1 Event Logs -- 1.1 Process Model vs. Process Instances -- 1.2 Task Allocation -- 1.3 Identifying the Process Instances -- 1.4 Recording Events in an Event Log -- 1.5 Event Logs in CSV Format -- 1.6 Reading an Event Log with Python -- 1.7 Sorting an Event Log with Python -- 1.8 Reading the Event Log as a Dictionary -- 1.9 Summary -- 2 Control-Flow Perspective -- 2.1 The Transition Matrix -- 2.2 The Control-Flow Algorithm -- 2.3 Implementation in Python -- 2.4 Introducing Graphviz -- 2.5 Using PyGraphviz -- 2.6 Edge Thickness -- 2.7 Activity Counts -- 2.8 Node Coloring -- 2.9 Summary -- 3 Organizational Perspective -- 3.1 Handover of Work -- 3.2 Implementing Handover of Work -- 3.3 Working Together -- 3.4 Implementing Working Together -- 3.5 Undirected Graphs -- 3.6 Edge Thickness -- 3.7 Users and Activities -- 3.8 Work Distribution -- 3.9 Summary -- 4 Performance Perspective -- 4.1 Dates and Times in Python -- 4.2 Parsing the Timestamps -- 4.3 Average Timestamp Difference -- 4.4 Drawing the Graph -- 4.5 Analyzing the Timeline of Events -- 4.6 Plotting the Dotted Chart -- 4.7 Using Relative Time -- 4.8 Activity Duration -- 4.9 Summary -- 5 Process Mining in Practice -- 5.1 The BPI Challenge 2012 -- 5.2 Understanding the XES Format -- 5.3 Reading XES with Python -- 5.4 Analyzing the Control-Flow Perspective -- 5.5 Analyzing the Organizational Perspective -- 5.6 Analyzing the Performance Perspective -- 5.7 Process Mining with Disco -- 5.8 Process Mining with ProM -- 5.9 Conclusion -- References
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319564272&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4388375'}
Extent
1 online resource (101 pages)
Form of item
online
Isbn
9783319564272
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

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      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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