Home ›
Entities
› academia
› Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective
Research article (Cluster Computing, 2022) · cited 73× · AI/ML
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective
Summary
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective is a scholarly article[1].
Key Facts
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective. Retrieved May 24, 2026, from https://4ort.xyz/entity/mitigating-cyber-threats-through-integration-of-feature-selection-and-stacking-ensemble-learning-the-lgbm-and-random-for
MLA“Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mitigating-cyber-threats-through-integration-of-feature-selection-and-stacking-ensemble-learning-the-lgbm-and-random-for.
BibTeX@misc{4ortxyz_mitigating-cyber-threats-through-integration-of-feature-selection-and-stacking-ensemble-learning-the-lgbm-and-random-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective}}, year = {2026}, url = {https://4ort.xyz/entity/mitigating-cyber-threats-through-integration-of-feature-selection-and-stacking-ensemble-learning-the-lgbm-and-random-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective — https://4ort.xyz/entity/mitigating-cyber-threats-through-integration-of-feature-selection-and-stacking-ensemble-learning-the-lgbm-and-random-for (retrieved 2026-05-24)