Novel Domain-Knowledge Based Feature Selection Framework for Price Prediction: Comprehensive Modelling in Sailboat Market

Author:

Hong MengZe1ORCID,Zhang Kun2ORCID

Affiliation:

1. School of Mathematical Sciences, University of Nottingham Malaysia, Malaysia

2. School of Computer Science, University of Nottingham Malaysia, Malaysia

Publisher

ACM

Reference23 articles.

1. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

2. Dunn, Jack & Mingardi , Luca & Zhuo , Ying. ( 2021 ). Comparing interpretability and explainability for feature selection., Kenji Kira and Larry A. Rendell. 1992. The feature selection problem: traditional methods and a new algorithm . In Proceedings of the tenth national conference on Artificial intelligence (AAAI'92) . AAAI Press, 129–134. Dunn, Jack & Mingardi, Luca & Zhuo, Ying. (2021). Comparing interpretability and explainability for feature selection., Kenji Kira and Larry A. Rendell. 1992. The feature selection problem: traditional methods and a new algorithm. In Proceedings of the tenth national conference on Artificial intelligence (AAAI'92). AAAI Press, 129–134.

3. Feature Selection: A literature Review

4. A review of feature selection methods on synthetic data

5. Feature Selection Using Mutual Information: An Experimental Study

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