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Intelligent Data Analysis E Learning by Miguel Jorge (12 results)
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Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems (Intelligent Data-Centric Systems: Sensor Collected Intelligence)
Published by Academic Press 2016-08-09, 2016
ISBN 10: 0128045353 ISBN 13: 9780128045350
Language: English
US$ 106.58
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Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems
Published by Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128045353 ISBN 13: 9780128045350
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 133.03
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 393.
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US$ 119.85
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Add to basketPaperback. Condition: Brand New. 1st edition. 192 pages. 9.00x7.50x0.50 inches. In Stock.
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Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems (Intelligent Data-Centric Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Intelligent Data Analysis for E-learning : Enhancing Security and Trustworthiness in Online Learning Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 145.51
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Intelligent Data Analysis for e-Learning
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 141.67
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Add to basketTaschenbuch. Condition: Neu. Neuware -Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time. The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Englisch.
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Intelligent Data Analysis for E-learning : Enhancing Security and Trustworthiness in Online Learning Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 166.04
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning ma.
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US$ 146.98
Convert currencyUS$ 72.80 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time. The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS.
