Home › Entities › academia › Cluster-based under-sampling with random forest for multi-class imbalanced classification

Cluster-based under-sampling with random forest for multi-class imbalanced classification

Research article (2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017) · cited 30× · AI/ML
academia openalex:W2787038389
Press Enter · cited answer in seconds

Cluster-based under-sampling with random forest for multi-class imbalanced classification

Summary

Cluster-based under-sampling with random forest for multi-class imbalanced classification is a scholarly article[1].

Key Facts

  • Cluster-based under-sampling with random forest for multi-class imbalanced classification's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Cluster-based under-sampling with random forest for multi-class imbalanced classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification
MLA “Cluster-based under-sampling with random forest for multi-class imbalanced classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification.
BibTeX @misc{4ortxyz_cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cluster-based under-sampling with random forest for multi-class imbalanced classification}}, year = {2026}, url = {https://4ort.xyz/entity/cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cluster-based under-sampling with random forest for multi-class imbalanced classification — https://4ort.xyz/entity/cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/cluster-based-under-sampling-with-random-forest-for-multi-class-imbalanced-classification · Last refreshed: