An Appraisal Model Based on a Synthetic Feature Selection Approach for Students’ Academic Achievement

An Appraisal Model Based on a Synthetic Feature Selection Approach for Students’ Academic Achievement

Obtaining necessary information (and even extracting hidden messages) from existing big data, and then transforming them into knowledge, is an important skill. Data mining technology has received increased attention in various fields in recent years because it can be used to find historical patterns...

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Bibliographic Details
Main Authors: Ching-Hsue Cheng, Wei-Xiang Liu
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Symmetry
Subjects:
data mining
support vector machine
synthetic feature selection approach (SFSA)
academic achievement
Online Access:https://www.mdpi.com/2073-8994/9/11/282

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