Naive Bayes Classifier Based Geographic Information System for University Search Information
نویسندگان
چکیده
منابع مشابه
The Indifferent Naive Bayes Classifier
The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...
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As a consequence of the strong and usually violated conditional independence assumption (CIA) of naive Bayes (NB) classifier, the performance of NB becomes less and less favorable compared to sophisticated classifiers when the sample size increases. We learn from this phenomenon that when the size of the training data is large, we should either relax the assumption or apply NB to a “reduced” da...
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Naive Bayes induction algorithm is very popular in classification field. Traditional method for dealing with numeric data is to discrete numeric attributes data into symbols. The difference of distinct discredited criteria has significant effect on performance. Moreover, several researches had recently employed the normal distribution to handle numeric data, but using only one value to estimate...
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ژورنال
عنوان ژورنال: Journal of Applied Intelligent System
سال: 2018
ISSN: 2502-9401,2503-0493
DOI: 10.33633/jais.v2i2.1587