Utilizing Educational Data Mining (27 results)
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Utilizing Educational Data Mining Techniques for Improved Learning : Emerging Research and Opportunities
Bhatt, Chintan (EDT); Sajja, Priti Srinivas (EDT); Liyanage, Sidath (EDT)
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Utilizing Educational Data Mining Techniques for Improved Learning : Emerging Research and Opportunities
Bhatt, Chintan (EDT); Sajja, Priti Srinivas (EDT); Liyanage, Sidath (EDT)
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Utilizing Educational Data Mining Techniques for Improved Learning : Emerging Research and Opportunities
Bhatt, Chintan (EDT); Sajja, Priti Srinivas (EDT); Liyanage, Sidath (EDT)
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Utilizing Educational Data Mining Techniques for Improved Learning : Emerging Research and Opportunities
Bhatt, Chintan (EDT); Sajja, Priti Srinivas (EDT); Liyanage, Sidath (EDT)
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Taschenbuch. Condition: Neu. Utilizing Educational Data Mining Techniques for Improved Learning | Emerging Research and Opportunities | Chintan Bhatt (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Information Science Reference | EAN 9781799800118 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1…, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational in…stitutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.
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Buch. Condition: Neu. Utilizing Educational Data Mining Techniques for Improved Learning | Emerging Research and Opportunities | Chintan Bhatt (u. a.) | Buch | Gebunden | Englisch | 2019 | Information Science Reference | EAN 9781799800101 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at…]libri[dot]de | Anbieter: preigu Print on Demand.
- Hardcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 218.15
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institute…s can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.
