Lexicon and Naive Bayes Algorithms to Detect Mental Health Situations from Twitter Data

Learning Naive Bayes Classifier from Noisy Data

Classification is one of the major tasks in knowledge discovery and data mining. Naive Bayes classifier, in spite of its simplicity, has proven surprisingly effective in many practical applications. In real datasets, noise is inevitable, because of the imprecision of measurement or privacy preserving mechanisms. In this paper, we develop a new approach, LinEar-Equation-based noise-aWare bAYes c...

Learning from Data 1 Naive Bayes

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

Hierarchical Naive Bayes Classifiers for uncertain data

In experimental sciences many classification problems deal with variables with replicated measurements. In this case the replicates are usually summarized by their mean or median. However, such choice does not consider the information about the uncertainty associated with the measurements, thus potentially leading to over or underestimate the probability associated to each classification. In th...

Factorizing Data Technique using Naive Bayes

Lack of deficiency of information in different particular areas like science, engineering as well as bio informatics has several problems. To overcome these issues, proposed a system and that system fusioning different kind of information inside single or individual unit for the preference or for the research of different existing areas. There is information fusioning is achieved through the ma...