Context-Aware Machine Learning and Mobile Data Analytics | Automated Rule-based Services with Intelligent Decision-Making
Idioma: inglés
Editorial: Springer, 2022
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Context-Aware Machine Learning and Mobile Data Analytics | Automated Rule-based Services with Intelligent Decision-Making | Iqbal Sarker (u. a.) | Taschenbuch | xvi | Englisch | 2022 | Springer | EAN 9783030885328 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 125798940
- Título
- Context-Aware Machine Learning and Mobile Data Analytics | Automated Rule-based Services with Intelligent Decision-Making
- Autor
- Iqbal Sarker (u. a.)
- Editorial
- Springer
- Año de publicación
- 2022
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3030885321
- ISBN 13
- 9783030885328
- Peso del artículo
- 277 gramos
- Dimensiones
- 235 x 155 x 10 mm
- Catálogos de vendedores
- Bücher
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the applicationdevelopers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
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Acerca del autor
Alan Colman: is an Adjunct Research Fellow in Software Engineering at Swinburne University of Technology, Melbourne. His main research focus is on adaptive service-oriented systems and architectures. He has also made research contributions to feature-oriented software engineering, context-aware computing, control-theoretic adaptation and performance prediction of software systems, and user-centric access control and data sharing with blockchain. He has over 150 publications in leading software journals and conference proceedings with over 2300 citations to his papers.
Jun Han: received his Ph.D. in Computer Science from the University of Queensland. Since 2003, he has been Professor of Software Engineering at Swinburne University of Technology. He has authored two books and published over 260 peer-reviewed articles in leading international journals and conferences. His current research interests include adaptive and context-aware systems, services and cloud systems engineering, software and service behavior mining, data-driven software engineering, software architectures, software security and performance
Paul Watters: Professor Paul A. Watters is Academic Dean at Academies Australasia Polytechnic, an ASX-listed higher education provider operating 18 colleges in Australia and Singapore. Professor Watters is also Honorary Professor of Security Studies and Criminology at Macquarie University, and Adjunct Professor of Cyber Security at La Trobe University. He has worked closely with many large companies and law enforcement agencies in Australia on applied cyber R&D projects, and he has written many books and academic papers on cybersecurity, cybercrime andrelated topics. His research has been cited 4,964 times, and his h-index is 33. He obtained his PhD at Macquarie University in 2000, and read for his MPhil at the University of Cambridge in 1997 after completing a BA(First Class Honours) at the University of Tasmania, and a BA at the University of Newcastle. Professor Watters is a Fellow of the British Computer Society, a Senior Member of the IEEE, a Chartered IT Professional, and a Member of the Australian Psychological Society.
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