Rough Set Theory — Fundamental Concepts, Principals, Data Extraction, and Applications-Reference-Cited by-同舟云学术

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Rough Set Theory — Fundamental Concepts, Principals, Data Extraction, and Applications

Published:2009-01-01 Issue: Volume: Page:
ISSN:
Container-title:Data Mining and Knowledge Discovery in Real Life Applications
language:
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Author:

Rissino Silvia,Lambert-Torres Germano

Publisher

I-Tech Education and Publishing

Link

https://www.intechopen.com/download/pdf/5939

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cleansing of inconsistent sample in linear regression model based on rough sets theory;Systems and Soft Computing;2023-12

2. Rough set based information theoretic approach for clustering uncertain categorical data;PLOS ONE;2022-05-13

3. Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer;Artificial Intelligence Review;2022-05-04

4. Managing Boundary Uncertainty in Diagnosing the Patients of Rural Area Using Fuzzy and Rough Set;Journal of Healthcare Informatics Research;2022-01-03

5. Customer’s Behavior in Purchase Decision of Textile Materials: Rough-Regression Model;Recent Advances in Soft Computing and Data Mining;2022

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