東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Applications and developments in sem...

Okoye, Kingsley, (1983-)

Linked to FindBook

Google Book

Amazon

博客來

Applications and developments in semantic process mining

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications and developments in semantic process mining/ by Kingsley Okoye.
Author:	Okoye, Kingsley,
Published:	Hershey, Pennsylvania :IGI Global, : 2020.,
Description:	1 online resource (xxxvi, 248 p.)
[NT 15003449]:	Chapter 1. Preliminaries -- Chapter 2. State-of-the-art components, tools, and methods for process mining and semantic modelling -- Chapter 3. Main component and architecture of the semantic-based process mining and analysis framework (SPMaAF) -- Chapter 4. Proposed algorithms and formalizations -- Chapter 5. Method for semantic annotation and lifting of process models -- Chapter 6. Experimental setup and case study example -- Chapter 7. Process mining with semantics: real-time processing and application -- Chapter 8. Measuring the impact of the semantic-based process mining approach.
Subject:	Process mining. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2668-2
ISBN:	9781799826705 (ebk.)

Applications and developments in semantic process mining
Okoye, Kingsley,1983-

Applications and developments in semantic process mining[electronic resource] /by Kingsley Okoye. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxxvi, 248 p.)

Includes bibliographical references and index.

Chapter 1. Preliminaries -- Chapter 2. State-of-the-art components, tools, and methods for process mining and semantic modelling -- Chapter 3. Main component and architecture of the semantic-based process mining and analysis framework (SPMaAF) -- Chapter 4. Proposed algorithms and formalizations -- Chapter 5. Method for semantic annotation and lifting of process models -- Chapter 6. Experimental setup and case study example -- Chapter 7. Process mining with semantics: real-time processing and application -- Chapter 8. Measuring the impact of the semantic-based process mining approach.

"This book explores the need for the effective management of data across different process domains and the need for the enhancement of process mining results and analysis"--

ISBN: 9781799826705 (ebk.)Subjects--Topical Terms:

3510732
Process mining.

LC Class. No.: T57.67 / .O36 2020

Dewey Class. No.: 622.0285/6332

Applications and developments in semantic process mining
LDR:01671nmm a2200265 a 4500 001 2246915
003 IGIG
005 19991022111005.0
006 m o d
007 cr cn
008 211227s2020 pau fob 001 0 eng d
020 $a 9781799826705 (ebk.)
020 $a 9781799826682 (hbk.)
020 $a 9781799826699 (pbk.)
035 $a (OCoLC)1137195692
035 $a 1101012271
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a T57.67 $b .O36 2020
082 0 0 $a 622.0285/6332 $2 23
100 1 $a Okoye, Kingsley, $d 1983- $3 3510731
245 1 0 $a Applications and developments in semantic process mining $h [electronic resource] / $c by Kingsley Okoye.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xxxvi, 248 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Preliminaries -- Chapter 2. State-of-the-art components, tools, and methods for process mining and semantic modelling -- Chapter 3. Main component and architecture of the semantic-based process mining and analysis framework (SPMaAF) -- Chapter 4. Proposed algorithms and formalizations -- Chapter 5. Method for semantic annotation and lifting of process models -- Chapter 6. Experimental setup and case study example -- Chapter 7. Process mining with semantics: real-time processing and application -- Chapter 8. Measuring the impact of the semantic-based process mining approach.
520 3 $a "This book explores the need for the effective management of data across different process domains and the need for the enhancement of process mining results and analysis"-- $c Provided by publisher.
650 0 $a Process mining. $3 3510732
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2668-2