By Jorge Miguel,Santi Caballé,Fatos Xhafa
ISBN-10: 0128045353
ISBN-13: 9780128045350
Intelligent information research for e-Learning: improving safeguard and Trustworthiness in on-line studying Systems addresses details protection inside of e-Learning according to trustworthiness overview and prediction. over the last decade, many studying administration structures have seemed within the schooling industry. defense in those structures is vital for shielding opposed to unfair and cheating conduct—most particularly cheating—however, e-Learning companies are frequently designed and applied with no contemplating safety requirements.
This ebook offers sensible ways of trustworthiness research, modeling, evaluate, and prediction for greater protection and help in on-line studying, highlighting the protection deficiencies present in so much on-line collaborative studying platforms. The booklet explores trustworthiness methodologies in response to collective intelligence than can conquer those deficiencies. It examines trustworthiness research that makes use of the big quantities of data-learning actions generate. furthermore, as processing this knowledge is dear, the publication deals a parallel processing paradigm which may help studying actions in real-time.
The e-book discusses facts visualization tools for coping with e-Learning, offering the instruments had to examine the information gathered. utilizing a case-based method, the publication concludes with types and methodologies for comparing and validating safety in e-Learning systems.
Indexing: The books of this sequence are submitted to EI-Compendex and SCOPUS
- Provides guidance for anomaly detection, safeguard research, and trustworthiness of information processing
- Incorporates cutting-edge, multidisciplinary examine on on-line collaborative studying, social networks, info defense, studying administration structures, and trustworthiness prediction
- Proposes a parallel processing method that decreases the price of pricey information processing
- Offers thoughts for making sure opposed to unfair and cheating assessments
- Demonstrates options utilizing a real-life e-Learning context
Read or Download Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems (Intelligent Data-Centric Systems: Sensor Collected Intelligence) PDF
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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) by Jorge Miguel,Santi Caballé,Fatos Xhafa
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