[PDF][PDF] An efficient feature selection based on bayes theorem, self information and sequential forward selection
Feature selection is an indispensable pre-processing technique for selecting more relevant
features and eradicating the redundant attributes. Finding the more relevant features for the …
features and eradicating the redundant attributes. Finding the more relevant features for the …
[PDF][PDF] An exploratory analysis between the feature selection algorithms IGMBD and IGChiMerge
Most of the data mining and machine learning algorithms will work better with discrete data
rather than continuous. But the real time data need not be always discrete and thus it is …
rather than continuous. But the real time data need not be always discrete and thus it is …
A Robust Feature Selection based on Bayes Theorem, Self Information and Symmetric Uncertainty for Improving the Performance of Naive Bayesian Classifier
Feature selection (FS) is used to determine the minimal subset of features that are more
efficient and could render high accuracy when compared with the whole set of features for …
efficient and could render high accuracy when compared with the whole set of features for …
International Journal of Information Engineering and Electronic Business (IJIEEB)
NN Gana, MA Shafi'i, JA Ojeniyi - mecs-press.net
Untitled Page 1 Page 2 International Journal of Information Engineering and Electronic
Business (IJIEEB) ISSN Print: 2074-9023, ISSN Online: 2074-9031 Volume 15, Number 2 …
Business (IJIEEB) ISSN Print: 2074-9023, ISSN Online: 2074-9031 Volume 15, Number 2 …