Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
Summary
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery is a scholarly article[1].
Key Facts
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. Retrieved May 24, 2026, from https://4ort.xyz/entity/attribute-clustering-using-rough-set-theory-for-feature-selection-in-fault-severity-classification-of-rotating-machinery
MLA“Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attribute-clustering-using-rough-set-theory-for-feature-selection-in-fault-severity-classification-of-rotating-machinery.
BibTeX@misc{4ortxyz_attribute-clustering-using-rough-set-theory-for-feature-selection-in-fault-severity-classification-of-rotating-machinery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery}}, year = {2026}, url = {https://4ort.xyz/entity/attribute-clustering-using-rough-set-theory-for-feature-selection-in-fault-severity-classification-of-rotating-machinery}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery — https://4ort.xyz/entity/attribute-clustering-using-rough-set-theory-for-feature-selection-in-fault-severity-classification-of-rotating-machinery (retrieved 2026-05-24)