Classification optimization for training a large dataset with naïve Bayes

DOI10.1007/S10878-020-00578-0zbMath1444.68159OpenAlexW3020164937MaRDI QIDQ2185824

Thi Thanh Sang Nguyen, Pham Minh Thu Do

Publication date: 5 June 2020

Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10878-020-00578-0

zbMATH Keywords

data miningfeature selectionnaïve Bayesword embedding

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• WEKA
• AdaBoost.MH
• C4.5
• word2vec
• GloVe

Cites Work

• Data mining. Concepts and techniques
• A decision-theoretic generalization of on-line learning and an application to boosting
• Learning the naive Bayes classifier with optimization models

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