Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust

Author:   Osman Khalid (Assistant Professor, COMSATS Institute of Information Technology, Department of Computer Sciences, Pakistan) ,  Samee U. Khan (Associate Professor, North Dakota State University, USA) ,  Albert Y. Zomaya (Chair Professor, The University of Sydney, Australia)
Publisher:   Institution of Engineering and Technology
ISBN:  

9781785619755


Pages:   368
Publication Date:   29 August 2019
Format:   Hardback
Availability:   In Print   Availability explained
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Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust


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Author:   Osman Khalid (Assistant Professor, COMSATS Institute of Information Technology, Department of Computer Sciences, Pakistan) ,  Samee U. Khan (Associate Professor, North Dakota State University, USA) ,  Albert Y. Zomaya (Chair Professor, The University of Sydney, Australia)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781785619755


ISBN 10:   1785619756
Pages:   368
Publication Date:   29 August 2019
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1: Introduction to big data recommender systems - volume 1 Chapter 2: Theoretical foundations for recommender systems Chapter 3: Benchmarking big data recommendation algorithms using Hadoop orApache Spark Chapter 4: Efficient and socio-aware recommendation approaches for bigdata networked systems Chapter 5: Novel hybrid approaches for big data recommendations Chapter 6: Deep generative models for recommender systems Chapter 7: Recommendation algorithms for unstructured big data such as text, audio, image and video Chapter 8: Deep segregation of plastic (DSP): segregation of plastic and nonplastic using deep learning Chapter 9: Spatiotemporal recommendation with big geo-social networking data Chapter 10: Recommender system for predicting malicious Android applications Chapter 11: Security threats and their mitigation in big data recommender systems Chapter 12: User's privacy in recommendation systems applying online social network data: a survey and taxonomy Chapter 13: Private entity resolution for big data on Apache Spark using multiple phonetic codes Chapter 14: Deep learning architecture for big data analytics in detecting intrusions and malicious URL

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Author Information

Osman Khalid is assistant professor at the department of computer sciences, COMSATS Institute of Information Technology, Abbottabad, Pakistan. His research interests include recommender systems, trust and reputation system, disaster response systems, delay tolerant networks, wireless networks, and fog computing. Samee U. Khan is associate professor of electrical and computer engineering at the North Dakota State University, USA. His research interests include optimization, robustness, and security of systems. Albert Y. Zomaya is chair professor of high performance computing & networking and Australian research council professorial fellow in the School of Information Technologies, The University of Sydney, Australia. He is also the director of the Centre for Distributed and High Performance Computing.

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