Intelligent data analysis e learning von miguel jorge (15 Ergebnisse)

Sprache: Englisch
Verlag: Academic Press 2016-08-09 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
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Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, US 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Paperback. Zustand: New. 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. Se…curity 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.

Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Sprache: Englisch
Verlag: Elsevier Science 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Kartoniert / Broschiert. Zustand: New. Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learnin.

Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Taschenbuch. Zustand: Neu. Intelligent Data Analysis for e-Learning | Enhancing Security and Trustworthiness in Online Learning Systems | Jorge Miguel (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2016 | Academic Press | EAN 9780128045350 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher La…ndstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, US 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Paperback. Zustand: New. 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. Se…curity 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.

Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
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Zustand: new. Questo è un articolo print on demand.

Sprache: Englisch
Verlag: Academic Pr 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print-on-Demand
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Paperback. Zustand: Brand New. 1st edition. 192 pages. 9.00x7.50x0.50 inches. In Stock. This item is printed on demand.

Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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, man…y 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.

Sprache: Englisch
Verlag: Academic Press 2016
Serie: Intelligent Data-Centric Systems: Sensor Collected Intelligence, Buch 2 von 20. Buch 2 von 20 - Intelligent Data-Centric Systems: Sensor Collected Intelligence
- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: 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 lea…rning 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.