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Process analytics = concepts and tec...

Beheshti, Seyed-Mehdi-Reza.

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Process analytics = concepts and techniques for querying and analyzing process data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Process analytics/ by Seyed-Mehdi-Reza Beheshti ... [et al.].
其他題名:	concepts and techniques for querying and analyzing process data /
其他作者:	Beheshti, Seyed-Mehdi-Reza.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xvi, 178 p. :ill., digital ;24 cm.
內容註:	Introduction -- Business Process Paradigms -- Process matching techniques -- Model-based Business Process Query techniques and languages -- Business Process Data Analysis -- Tools, Use Cases and Discussions -- References.
Contained By:	Springer eBooks
標題:	Querying (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-25037-3
ISBN:	9783319250373

Process analytics = concepts and techniques for querying and analyzing process data /
Process analyticsconcepts and techniques for querying and analyzing process data /[electronic resource] :by Seyed-Mehdi-Reza Beheshti ... [et al.]. - Cham :Springer International Publishing :2016. - xvi, 178 p. :ill., digital ;24 cm.

Introduction -- Business Process Paradigms -- Process matching techniques -- Model-based Business Process Query techniques and languages -- Business Process Data Analysis -- Tools, Use Cases and Discussions -- References.

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

ISBN: 9783319250373

Standard No.: 10.1007/978-3-319-25037-3doiSubjects--Topical Terms:

625110
Querying (Computer science)

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.741

Process analytics = concepts and techniques for querying and analyzing process data /
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520 $a This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics - including process data querying, analysis, matching and correlating process data and models - to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.
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