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Home > Computer security books > Privacy and data protection > Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems(Intelligent Data-Centric Systems)
Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems(Intelligent Data-Centric Systems)

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems(Intelligent Data-Centric Systems)


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About the Book

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems

Table of Contents:
1. Introduction2. Security for e-Learning3. Trustworthiness for secure collaborative learning4. Trustworthiness modeling and methodology for secure peer-to-peer e-Assessment5. Massive data processing for effective trustworthiness modeling6. Trustworthiness evaluation and prediction7. Trustworthiness in action: Data collection, processing, and visualization methods for real online courses8. Conclusions and future research work

About the Author :
Jorge Miguel teaches operative systems and security in information systems and is in charge of San Jorge University’s Department of Information Systems. Santi Caballé is a full professor at the Universitat Oberta de Catalunya (UOC) based in Barcelona, Spain. He holds a PhD, Master's, and Bachelor’s in computing engineering from the UOC where he teaches on-line courses on software engineering and conducts research activity on the interdisciplinary field of learning engineering by combining e-learning, artificial intelligence, software engineering and distributed computing. He has over 250 peer-reviewed publications, including 15 books, 60 papers in indexed journals, and 150 conference papers. Professor Caballé has led and participated in over 30 national and international research projects and has been involved in the organization of many international research events. He also serves as editor for books and special issues of leading international journals. Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things. His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at fatos@cs.upc.edu. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos


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Product Details
  • ISBN-13: 9780128045350
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 192
  • Sub Title: Enhancing Security and Trustworthiness in Online Learning Systems
  • Width: 191 mm
  • ISBN-10: 0128045353
  • Publisher Date: 22 Aug 2016
  • Binding: Paperback
  • Language: English
  • Series Title: Intelligent Data-Centric Systems
  • Weight: 394 gr


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