Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
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Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
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Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Information Science Reference, 2019
ISBN 10: 1799800105 ISBN 13: 9781799800101
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Information Science Reference, 2019
ISBN 10: 1799800105 ISBN 13: 9781799800101
Language: English
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Published by Information Science Reference, 2019
ISBN 10: 1799800113 ISBN 13: 9781799800118
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. 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 institutes 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.
Published by Information Science Reference, 2019
ISBN 10: 1799800105 ISBN 13: 9781799800101
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 223.89
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Add to basketBuch. 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 institutes 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.