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Implementing Smart Processes using IoT, Machine Learning, and Business Rules

Autor Hafedh Mili, Ghizlane El Boussaidi
en Limba Engleză Hardback – 11 feb 2027

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Specificații

ISBN-13: 9783032293060
ISBN-10: 3032293065
Pagini: 481
Dimensiuni: 155 x 235 mm
Editura: Springer Nature Switzerland AG

Notă biografică

Hafedh Mili has been consulting and training on business rules since ’96, first with ILOG (’96 – ’09) and then IBM (since ’09). He has been involved in a few dozen consulting assignments on behalf of ILOG/IBM in telecom, manufacturing, e-government, banking, and insurance, as a developer, business analyst, architect, and team leader. He has published more than 140 refereed papers on artificial intelligence and software engineering, a 2002 book on "Reuse-Based Software Engineering", with John Wiley & Sons, and the 2011 book on Agile Business Rule Development: Process, Architecture, and JRules Examples with Jérôme Boyer. He holds an engineering degree from the École Centrale de Paris - France (1984), and PhD in AI from the George Washington University (1988).
Ghizlane El Boussaidi received the PhD degree in Software Engineering from the Université de Montréal, Canada (2010), after fifteen years of software development in industry. She is a Full Professor with the Dept of Software Engineering and IT, at École de Technologie supérieure, Montreal. Her research focuses on improving software development efficiency, safety, and quality through model-driven engineering, domain-specific languages, and automation techniques. She has led several collaborative research projects with the aerospace industry on requirements specification, heterogenous systems design, and the certification of safety critical systems.

Cuprins

.- An Introduction to Smart Process Applications.
.- Smart Process Applications - Common Business Cases.
.- Towards a Methodology for Developing Smart Process Applications (SPAs).
.- Case Studies for the Book.
.- Cloud Computing for Smart Process Applications.
.- The IoT for Smart Process Applications’ Context-Awareness.
.- SPA Architecture for the Case Studies.
.- Mathematical Foundations of Big Data Analytics.
.- Analytics and Machine Learning in Industry.
.- Analytics and ML for the Case Studies.
.- Introduction to Business Rules.
.- Rule Development - Design, Coding, and testing Issues.
.- Tools for Business Rules.
.- Decision Model and Notation - DMN.
.- Business Rule Case Studies.
.- Application Evolution Scenarios.
.- Key Takeaways.