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As a simple and efficient classification algorithm, Naive Bayes (NB) algorithm has been applied in the field of harassing calls recognition, But in reality, it is difficult to satisfy its attribute independence hypothesis. The Weighted Bayes (WB) is an improved algorithm that assigns different weights for different feature attributes to reduce the impact of attribute independence hypothesis on classification results. Different calculation methods of weights will have a great influence on thedoi:10.12783/dtcse/aiea2017/14978 fatcat:2doscdcgunh2rcvbyjbnzewyxm