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Utilizing Educational Data Mining Techniques for Improved Learning - Emerging Research and Opportunities (Paperback) Loot Price: R3,499
Discovery Miles 34 990
Utilizing Educational Data Mining Techniques for Improved Learning - Emerging Research and Opportunities (Paperback): Chintan...

Utilizing Educational Data Mining Techniques for Improved Learning - Emerging Research and Opportunities (Paperback)

Chintan Bhatt, Priti Srinivas Sajja, Sidath Liyanage

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Loot Price R3,499 Discovery Miles 34 990 | Repayment Terms: R328 pm x 12*

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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.

General

Imprint: Business Science Reference
Country of origin: United States
Release date: July 2019
Editors: Chintan Bhatt • Priti Srinivas Sajja • Sidath Liyanage
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 188
ISBN-13: 978-1-79980-011-8
Categories: Books > Computing & IT > Computer software packages > General
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LSN: 1-79980-011-3
Barcode: 9781799800118

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