… , we propose a user identification algorithm based on naive Bayes model (UI-NBM) within
… First, a matching degree index is designed based on the naive Bayes model, which can …

… a unique identifier (ID) and password for authentication. … when a user tries to log in to a service
with his/her ID and password… extra features for the user authentication mechanism. One of …

… be successful in identifying users, including masqueraders. This data was used as input to
a naıve Bayes classifier to create models of user behavior. The models were then applied to …

… for user monitoring and identification, albeit impacting users’ … In this paper, we report on
the feasibility of user identification … web user activities and to rely on Multinomial Naive Bayes …

… this assumption, showing that the naive Bayes classifier model is sufficient and suitable for
multi-modal user identification, even when the modalities use the same input. Moreover, the …

… Existing naive Bayes classifier based noise detection techniques have not considered this
… noise detection technique based on naive Bayes classifier for effectively classifying users’ …

… Furthermore, we show the high robustness of the classifier and find that it is able to identify
… We use the accuracy of a classifier as a measure of its effectivity. This metric indicates the …

… From the table, we observe that five classifiers (Random Forest, Naive Bayes, Neural
Network, kNearest Neighbors, and AdaBoost) can achieve more than 90% accuracy in …

… Naive Bayes has been used in this paper to identify the abnormal access behavior. Bayesian
algorithm is … of classification and use the training sample set to generating classifier in this …

… This paper studies how to authenticate users with abundant rating … user authentication
scheme for recommender systems with secure personalized data under the Naive Bayes model. …