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Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM

Research article (2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), 2017) · cited 18× · AI/ML
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Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM

Summary

Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM is a scholarly article[1].

Key Facts

  • Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/research-on-classification-method-of-high-dimensional-class-imbalanced-data-sets-based-on-svm
MLA “Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/research-on-classification-method-of-high-dimensional-class-imbalanced-data-sets-based-on-svm.
BibTeX @misc{4ortxyz_research-on-classification-method-of-high-dimensional-class-imbalanced-data-sets-based-on-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM}}, year = {2026}, url = {https://4ort.xyz/entity/research-on-classification-method-of-high-dimensional-class-imbalanced-data-sets-based-on-svm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM — https://4ort.xyz/entity/research-on-classification-method-of-high-dimensional-class-imbalanced-data-sets-based-on-svm (retrieved 2026-05-24)

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