A Wrapper-based Feature Selection Approach Using Particle Swarm Optimization for Software Fault Prediction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3734-9_31
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3. Das H, Naik B, Behera HS (2021) Optimal selection of features using artificial electric field algorithm for classification. Arabian J Sci Eng 46.9:8355–8369
4. Das H et al. (2020) Optimal selection of features using teaching-learning-based optimization algorithm for classification. In: Applied ıntelligent decision making in machine learning. CRC Press, pp 213–227
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1. FPAFS: Feature Selection Using the Flower Pollination Algorithm for Software Fault Detection System;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09
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