How Interval and Fuzzy Techniques Can Improve Teaching Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches /

• Κύριοι συγγραφείς: Kosheleva, Olga (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Villaverde, Karen (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 750
• Θέματα: Computational intelligence.; Information technology.; Business-Data processing.; E-commerce.; Computational Intelligence.; IT in Business.; e-Commerce/e-business.

This book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is larg...