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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering
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Citations
Cited by
Ikotun, A. M., Ezugwu, A. E., Abualigah, L., Abuhaija, B., & Heming, J. (2023) · Information Sciences · doi:10.1016/j.ins.2022.11.139 · Cited by 2,272
Self-citationImproved Binary Grey Wolf Optimizer and Its application for feature selection
Hu, P., Pan, J.-S., & Chu, S.-C. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.105746 · Cited by 386
Abualigah, L., & Diabat, A. (2021) · Cluster Computing · doi:10.1007/s10586-020-03075-5 · Cited by 355
Self-citationMoth–flame optimization algorithm: variants and applications
Shehab, M., Abualigah, L., Al Hamad, H., Alabool, H., Alshinwan, M., & Khasawneh, A. M. (2020) · Neural Computing and Applications · doi:10.1007/s00521-019-04570-6 · Cited by 316
Self-citationMLACO: A multi-label feature selection algorithm based on ant colony optimization
Paniri, M., Dowlatshahi, M. B., & Nezamabadi-pour, H. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2019.105285 · Cited by 285
Metadata
- Authors
- Abualigah, L. M. Q.
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2019
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2903590249
- Cited by
- 534
- References
- 0
- FWCI
- 33.18
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. https://app.cochat.ai/papers/10.1007/978-3-030-10674-4
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- Abualigah, L. M. Q. (2019). Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. Studies in Computational Intelligence. https://doi.org/10.1007/978-3-030-10674-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.