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. Itprovides 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.
Cited By
- Khandan N, Beheshti A, Farhood H, Pooshideh M, Simpson M and Gatland N Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification The 23rd International Conference on Information Integration and Web Intelligence, (523-531)
- Rouhollahi Z, Beheshti A, Mousaeirad S and Goluguri S Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies The 23rd International Conference on Information Integration and Web Intelligence, (538-546)
- Khadivizand S, Beheshti A, Sobhanmanesh F, Sheng Q, Istanbouli E, Wood S and Pezaro D Towards intelligent feature engineering for risk-based customer segmentation in banking Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia, (74-83)
- Tabebordbar A and Beheshti A Adaptive rule monitoring system Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services, (45-51)
- Beheshti S, Tabebordbar A, Benatallah B and Nouri R On Automating Basic Data Curation Tasks Proceedings of the 26th International Conference on World Wide Web Companion, (165-169)
- Pika A, Leyer M, Wynn M, Fidge C, Hofstede A and Aalst W (2017). Mining Resource Profiles from Event Logs, ACM Transactions on Management Information Systems, 8:1, (1-30), Online publication date: 1-May-2017.
- Beheshti A, Benatallah B, Nouri R, Chhieng V, Xiong H and Zhao X CoreDB Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, (2451-2454)
- Grigori D and Gater A (2017). PSearch, Service Oriented Computing and Applications, 11:3, (249-264), Online publication date: 1-Sep-2017.
Index Terms
- Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data
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