Dimensionality Reduction Based Component Discriminant Factor Implication for Mushroom Edibility Classification Using Machine Learning-Reference-Cited by-同舟云学术

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Dimensionality Reduction Based Component Discriminant Factor Implication for Mushroom Edibility Classification Using Machine Learning

Published:2022 Issue: Volume: Page:1-15
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Shyamala Devi M.,Anandaraj A. Peter Soosai,Gupta Sudheer Kumar,Bhattacharjee Vasujit,Rai Akshita,Ramesh Santhosh Veeraraghavan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5529-6_1

Reference15 articles.

1. V. Maniraj, J. Nithya, Integrating ontology with datamining with a case of mushroom analysis. COMPUSOFT. Int. J. Adv. Comput. Technol. IV (2015)

2. D.R. Chowdhury, S. Ojha, An emperical study on mushroom disease diagnosis: a data mining approach. Int. Res. J. Eng. Technol. (IRJET) 4(101) (2017)

3. M. Hussaini, A data mining based on ensemble classifier classification approach for edible mushroom classifiacation. Int. Res. J. Eng. Technol. (IRJET) 5(7) (2018)

4. U.J. Lidasan, P.M. Tagacay, Mushroom recognition using neural network. Int. J. Comput. Sci. Issues (IJCSI) 15(05) (2018)

5. B. Lavanya, G.R. Preethi, Performance analysis of decision tree algorithms on mushroom dataset. Int. J. Res. Appl. Sci. Eng. Technol. (IJTESET) 5(11) (2017)

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