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Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications

Research article (International Journal on Advanced Science Engineering and Information Technology, 2018) · cited 16× · AI/ML
academia openalex:W2907141522
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Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications

Summary

Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications is a scholarly article[1].

Key Facts

  • Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications's instance of is recorded as scholarly article[2].

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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). Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications. Retrieved May 24, 2026, from https://4ort.xyz/entity/performances-analysis-of-heart-disease-dataset-using-different-data-mining-classifications
MLA “Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performances-analysis-of-heart-disease-dataset-using-different-data-mining-classifications.
BibTeX @misc{4ortxyz_performances-analysis-of-heart-disease-dataset-using-different-data-mining-classifications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications}}, year = {2026}, url = {https://4ort.xyz/entity/performances-analysis-of-heart-disease-dataset-using-different-data-mining-classifications}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications — https://4ort.xyz/entity/performances-analysis-of-heart-disease-dataset-using-different-data-mining-classifications (retrieved 2026-05-24)

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