Optimization of scientific publications clustering with ensemble approach for topic extraction
Author:
Funder
Ajman University
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-023-04674-w.pdf
Reference88 articles.
1. Abasi, A. K., Khader, A. T., Al-Betar, M. A., Naim, S., Makhadmeh, S. N., & Alyasseri, Z. A. A. (2019a). An improved text feature selection for clustering using binary grey wolf optimizer. Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 (pp. 503–516). Springer.
2. Abasi, A. K., Khader, A. T., Al-Betar, M. A., Naim, S., Makhadmeh, S. N., & Alyasseri, Z. A. A. (2019). A text feature selection technique based on binary multi-verse optimizer for text clustering. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) (pp. 1–6). IEEE.
3. Abasi, A. K., Khader, A. T., Al-Betar, M. A., Naim, S., Alyasseri, Z. A. A., & Makhadmeh, S. N. (2020). A novel hybrid multi-verse optimizer with k-means for text documents clustering. Neural Computing & Applications, 32, 17703–17729.
4. Abasi, A. K., Khader, A. T., Al-Betar, M. A., Naim, S., Makhadmeh, S. N., & Alyasseri, Z. A. A. (2020). Link-based multi-verse optimizer for text documents clustering. Applied Soft Computing, 87, 106002.
5. Abasi, A. K., Khader, A. T., Al-Betar, M. A., Alyasseri, Z. A. A., Makhadmeh, S. N., Al-laham, M., & Naim, S. (2021a). A hybrid salp swarm algorithm with $$\beta$$-hill climbing algorithm for text documents clustering. Evolutionary Data Clustering: Algorithms and Applications (p. 129).
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