Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
A primer on process miningpractical ...
~
Ferreira, Diogo R.
A primer on process miningpractical skills with Python and Graphviz /
Record Type:
Electronic resources : Monograph/item
Title/Author:
A primer on process miningby Diogo R. Ferreira.
Reminder of title:
practical skills with Python and Graphviz /
Author:
Ferreira, Diogo R.
Published:
Cham :Springer International Publishing :2020.
Description:
x, 96 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
BusinessData processing.
Online resource:
https://doi.org/10.1007/978-3-030-41819-9
ISBN:
9783030418199$q(electronic bk.)
A primer on process miningpractical skills with Python and Graphviz /
Ferreira, Diogo R.
A primer on process mining
practical skills with Python and Graphviz /[electronic resource] :by Diogo R. Ferreira. - Second edition. - Cham :Springer International Publishing :2020. - x, 96 p. :ill., digital ;24 cm. - SpringerBriefs in information systems,2192-4929. - SpringerBriefs in information systems..
Event Logs -- Control-Flow Perspective -- Organizational Perspective -- Performance Perspective -- Process Mining in Practice.
The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.
ISBN: 9783030418199$q(electronic bk.)
Standard No.: 10.1007/978-3-030-41819-9doiSubjects--Topical Terms:
199085
Business
--Data processing.
LC Class. No.: HD30.2 / .F477 2020
Dewey Class. No.: 006.312
A primer on process miningpractical skills with Python and Graphviz /
LDR
:02345nmm a2200349 a 4500
001
574691
003
DE-He213
005
20200708134227.0
006
m d
007
cr nn 008maaau
008
201016s2020 sz s 0 eng d
020
$a
9783030418199$q(electronic bk.)
020
$a
9783030418182$q(paper)
024
7
$a
10.1007/978-3-030-41819-9
$2
doi
035
$a
978-3-030-41819-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HD30.2
$b
.F477 2020
072
7
$a
KJQ
$2
bicssc
072
7
$a
BUS083000
$2
bisacsh
072
7
$a
KJQ
$2
thema
082
0 4
$a
006.312
$2
23
090
$a
HD30.2
$b
.F383 2020
100
1
$a
Ferreira, Diogo R.
$3
787222
245
1 2
$a
A primer on process mining
$h
[electronic resource] :
$b
practical skills with Python and Graphviz /
$c
by Diogo R. Ferreira.
250
$a
Second edition.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
x, 96 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in information systems,
$x
2192-4929
505
0
$a
Event Logs -- Control-Flow Perspective -- Organizational Perspective -- Performance Perspective -- Process Mining in Practice.
520
$a
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. In this second edition the code snippets have been updated to Python 3, and some smaller errors have been corrected. 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.
650
0
$a
Business
$x
Data processing.
$3
199085
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Graphic methods
$x
Data processing.
$3
787223
650
0
$a
Computer graphics.
$3
182120
650
1 4
$a
Business Process Management.
$3
714086
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
530743
650
2 4
$a
Computer Appl. in Administrative Data Processing.
$3
275283
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in information systems.
$3
560301
856
4 0
$u
https://doi.org/10.1007/978-3-030-41819-9
950
$a
Business and Management (Springer-41169)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000180799
電子館藏
1圖書
電子書
EB HD30.2 .F383 2020 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-41819-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login