Feature Selection Algorithms and Student Academic Performance: A Study

Chitra Jalota; Rashmi Agrawal

doi:10.1007/978-981-15-5113-0_23

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Feature Selection Algorithms and Student Academic Performance: A Study

Chitra Jalota Rashmi Agrawal

Year: 2020 Advances in intelligent systems and computing Pages: 317-328 Publisher: Springer Nature

DOI: 10.1007/978-981-15-5113-0_23

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Keywords:

Feature selection Computer science Classifier (UML) Machine learning Artificial intelligence Selection (genetic algorithm) Filter (signal processing) Data mining Feature (linguistics) Information gain Quality (philosophy) Field (mathematics) Mathematics

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Online Learning and Analytics

Physical Sciences → Computer Science → Computer Science Applications

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Feature Selection Algorithms and Student Academic Performance: A Study

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Citation History

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