Typical Ice-Wind Fault Analysis Based on Correlation Analysis and Naive Bayesian Method

2020 ◽  
Author(s):  
Gu Kaikai ◽  
Chen Kai ◽  
Gu Ran ◽  
Wang Ruoyue ◽  
Peng Zhonghan ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Bayesian Method ◽  
Fault Analysis ◽  
Naive Bayesian ◽  
Naïve Bayesian

Correlation Analysis in Classifiers

2010 ◽  
pp. 204-218
Author(s):  
Vincent Lemaire ◽  
Carine Hue ◽  
Olivier Bernier
Keyword(s):  
Correlation Analysis ◽  
General Framework ◽  
New Method ◽  
Classification Model ◽  
Data Sets ◽  
Bayesian Classifiers ◽  
Naive Bayesian ◽  
Naïve Bayesian ◽  
Predictive Probability ◽  
Input Variables

This chapter presents a new method to analyze the link between the probabilities produced by a classification model and the variation of its input values. The goal is to increase the predictive probability of a given class by exploring the possible values of the input variables taken independently. The proposed method is presented in a general framework, and then detailed for naive Bayesian classifiers. We also demonstrate the importance of “lever variables”, variables which can conceivably be acted upon to obtain specific results as represented by class probabilities, and consequently can be the target of specific policies. The application of the proposed method to several data sets shows that such an approach can lead to useful indicators.

scholarly journals The Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Set

MENDEL ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 23-28
Author(s):  
Marvin Chandra Wijaya
Keyword(s):  
Classification Accuracy ◽  
Bayesian Method ◽  
New Method ◽  
Classification Method ◽  
Training Set ◽  
Naive Bayesian ◽  
Naïve Bayesian

Malay Language and Indonesian Language are two closely related languages, sharing a lot in common in the meanings of words and grammar. Classifying the two languages automatically using a tool is a challenge because the two languages are very similar. The classification method that is widely used today is the Naive Bayesian method. This method needs to be implemented in a particular way to increase the level of classification accuracy. In this study, a new method was used, by using a training set in the form of words and phrases instead of just using a training set in the form of words only. With this method, the level of classification accuracy of the two languages is increased.

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