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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

Reviewing ensemble classification methods in breast cancer (DATASET)

Research datakeyboard_double_arrow_right Dataset 29 Jan 2025 English Publisher:Zenodo
Authors: Hosni, Mohamed; Abnane, Ibtissam; Idri, Ali; Carrillo de Gea, Juan Manuel; Fernández-Alemán, José Luis;

doi: 10.5281/zenodo.14767927 , 10.5281/zenodo.14767928

Reviewing ensemble classification methods in breast cancer (DATASET)

Abstract

This dataset contains data mapping questions addressed by the selected studies. (MQ7 has 3 sub-questions: D: dataset, V: validation method, M: metrics) The data is presented in a pdf file: MappingQuestions.pdf. Contains the list of responses to the mapping questions. Contact InformationFor further information or inquiries about this dataset, please contact [Juan Manuel Carrillo de Gea] at [jmcdg1@um.es].

Related Organizations
Keywords

Machine Learning, Breast cancer, Ensemble methods, Data Mining, Classification

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average