ENGLISH

Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data

By Boualem Benatallah , Sherif Sakr , Daniela Grigori , Hamid Reza Motahari-Nezhad , Seyed-Mehdi-Reza Beheshti , Moshe Chai Barukh , Ahmed Gater , Seung Hwan Ryu (auth.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-25036-6, 978-3-319-25037-3
DOI
10.1007/978-3-319-25037-3
Language
english
Format
PDF
Filesize
4 MB (4172620 bytes)
Edition
1
Pages
XVI, 178\194
Time added
2016-07-20 04:00:00
Information Systems Applications (incl. Internet);

Description

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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