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Machine Learning Project : Naive Bayes Classifier

descriptionPublicationkeyboard_double_arrow_right Article 27 Mar 2019Publisher:Zenodo
Authors: Huang, Bixuan;

doi: 10.5281/zenodo.2611336 , 10.5281/zenodo.2611401 , 10.5281/zenodo.2611335 , 10.5281/zenodo.2611400

Machine Learning Project : Naive Bayes Classifier

Abstract

This is Naive Bayes Classifier based on Maximum Likelihood Estimation. The first model is to handle categorical data only. The second model can handle both categorical data and numeric data. This model is used on banking data to predict customers' decision about banking.

Keywords

Machine Learning, Naive Bayes, Maximum Likelihood Estimation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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