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Applications and developments in sem...

Okoye, Kingsley, (1983-)

Applications and developments in semantic process mining

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applications and developments in semantic process miningby Kingsley Okoye.
作者:	Okoye, Kingsley,
出版者:	Hershey, Pennsylvania :IGI Global,2020.
面頁冊數:	1 online resource (xxxvi, 248 p.)
標題:	Process mining.
電子資源:	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:

900170
Process mining.

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

Dewey Class. No.: 622.0285/6332

Applications and developments in semantic process mining
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100 1 $a Okoye, Kingsley, $d 1983- $3 900169
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 900170
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2668-2