Home ›
Entities
› academia
› Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Research article (IEEE Access, 2022) · cited 91× · AI/ML
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Summary
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks is a scholarly article[1].
Key Facts
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks'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). Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection
MLA“Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection.
BibTeX@misc{4ortxyz_effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks}}, year = {2026}, url = {https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks — https://4ort.xyz/entity/effect-of-balancing-data-using-synthetic-data-on-the-performance-of-machine-learning-classifiers-for-intrusion-detection (retrieved 2026-05-24)