Process Analytics (Record no. 54810)

000 -LEADER
fixed length control field 04458nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-319-25037-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111658.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160328s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319250373
-- 978-3-319-25037-3
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
100 1# - AUTHOR NAME
Author Beheshti, Seyed-Mehdi-Reza.
245 10 - TITLE STATEMENT
Title Process Analytics
Sub Title Concepts and Techniques for Querying and Analyzing Process Data /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 178 p. 30 illus., 6 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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. .
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Benatallah, Boualem.
700 1# - AUTHOR 2
Author 2 Sakr, Sherif.
700 1# - AUTHOR 2
Author 2 Grigori, Daniela.
700 1# - AUTHOR 2
Author 2 Motahari-Nezhad, Hamid Reza.
700 1# - AUTHOR 2
Author 2 Barukh, Moshe Chai.
700 1# - AUTHOR 2
Author 2 Gater, Ahmed.
700 1# - AUTHOR 2
Author 2 Ryu, Seung Hwan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-25037-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management information systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business Process Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Administrative Data Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database Management.
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-- ZDB-2-SCS

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