Literature Review
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-10674-4_3
Reference123 articles.
1. Abd-Alsabour, N. (2014). A review on evolutionary feature selection. In 2014 European Modelling Symposium (EMS) (pp. 20–26).
2. Abualigah, L. M., & Khader, A. T. (2017). Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. The Journal of Supercomputing, 1–23.
3. Abualigah, L. M., Khader, A. T., & Al-Betar, M. A. (2016a, July). Multi-objectives based text clustering technique using k-mean algorithm, 1–6. https://doi.org/10.1109/CSIT.2016.7549464
4. Abualigah, L. M., Khader, A. T., & Al-Betar, M. A. (2016b, July). Unsupervised feature selection technique based on genetic algorithm for improving the text clustering. In 7th International Conference on Computer Science and Information Technology (CSIT) (pp. 1–6). https://doi.org/10.1109/CSIT.2016.7549453
5. Abualigah, L. M., Khader, A. T., & Al-Betar, M. A. (2016c, July). Unsupervised feature selection technique based on harmony search algorithm for improving the text clustering. In 7th International Conference on Computer Science and Information Technology (CSIT) (pp. 1–6). https://doi.org/10.1109/CSIT.2016.7549456
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