Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms

Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms

Files

Access Instruction 855.pdf (92.77 KB)

Date

2022

Authors

Publisher

Institute of Electrical and Electronics Engineers Inc.

Keywords

bench-marking, data, data science, feature selection, synthetic data generation

Citation

Mitra, R., Varam, D., Ali, E., Sulieman, H., & Kamalov, F. (2022). Development of Synthetic Data Benchmarks for Evaluating Feature Selection Algorithms. 2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE) (pp. 47-52). IEEE. https://doi.org/10.1109/ISMODE56940.2022.10180928

URI

https://doi.org/10.1109/ISMODE56940.2022.10180928
https://hdl.handle.net/20.500.12519/855

Collections

Department of Electrical Engineering