Naive Bayes for microRNA target predictions-machine learning for microRNA targets. M. Yousef,S. Jung,A.V. Kossenkov,L.C. Showe,M.K. Showe. Bioinformatics . 2007M. Yousef,S. Jung,A.V. Kos...
This is because, when using the Naïve Bayes method for clustering, the degree of data fusion in the cluster is taken as one of the weights. Through data fusion in the cluster, the amount of data transmitted and energy consumed is effectively reduced. There are some differences between the...
Naive Bayes is computationally inexpensive and also needs a very low amount of memory [20]. The role of the NB in this study is to classify the received content into two classes, where the first class represents the consumed data that belong to the server or domain of the addressed network...