Enhanced classification models for Iris dataset

Wu, Y; He, J; Ji, Y; Huang, G; Yao, H; Zhang, P; Xu, W; Guo, M; Li, Y

Enhanced classification models for Iris dataset

https://hdl.handle.net/10536/DRO/DU:30141588
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conference contribution

posted on 2024-06-13, 14:06 authored by Y Wu, J He, Y Ji, G Huang, H Yao, P Zhang, W Xu, M Guo, Y Li

Enhanced classification models for Iris dataset

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1.
DOI - Is version of https://doi.org/10.1016/j.procs.2019.12.072

Location

Granada, Spain

Open access

Yes

Link to full text

https://doi.org/10.1016/j.procs.2019.12.072

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Herrera-Viedma E, Shi Y, Berg D, Tien J, Javier Cabrerizo F, Li J

Volume

162

Pagination

946-954

Start date

2019-11-03

End date

2019-11-06

ISSN

1877-0509

eISSN

1877-0509

Title of proceedings

ITQM 2019 : Proceedings of the 7th International Conference on Information Technology and Quantitative Management

Event

International Academy of Information Technology and Quantitative Management. Conference (7th : 2019 : Granada, Spain)

Publisher

Elsevier

Place of publication

Amsterdam, The Netherlands

Series

International Academy of Information Technology and Quantitative Management Conference

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Keywords

GraftedTrees model Random Forests model Boosting Tree model Iris dataset no CORE2018 4602 Artificial intelligence 4605 Data management and data science Technology

Enhanced classification models for Iris dataset

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Open access

Link to full text

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