Several FCA-based classification algorithms have been proposed, such as GRAND, LEGAL, GALOIS, RULEARNER, CIBLe, and CLNN & CLNB. These classifiers have been ...
Abstract. Several FCA-based classification algorithms have been pro- posed, such as GRAND, LEGAL, GALOIS, RULEARNER, CIBLe, and. CLNN & CLNB.
Several FCA-based classification algorithms have been proposed, such as GRAND, LEGAL, GALOIS, RULEARNER, CIBLe, and CLNN & CLNB. These classifiers have been ...
In this paper, we present a survey of many FCA-based approaches for classification by dividing them into methods based on a mono-classifier, methods based on ...
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McCue (2014) describes the goal of supervised learning to be the development of rules or decisions for an algorithm based on data with known outcome. To then be ...
Jun 21, 2012 · We found that the Naïve Bayes classification algorithm outperforms the majority of the classification algorithms in classification accuracy and ...
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A comparative study of FCA-based supervised classification algorithms ; Springer, Berlin. Publication country: Germany ; Conference Paper. Language: English.
The second aim is to compare the efficiency of state of the art supervised classifiers in the evaluation of sarcopenia.
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Nine classification algorithms are comparatively tested to find the optimum algorithm for students' dataset classification and it is shown that C4.5, ...
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Dec 21, 2019 · This study aims to identify the key trends among different types of supervised machine learning algorithms, and their performance and usage for disease risk ...
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