Classification Algorithm of Bayesian Network Based on Customer Consumption Habits
Faced with a large amount of communication consumption data from users,how to mine it to obtain valuable information,classify customers,and formulate different service strategies is a common problem faced by current communication enterprises.This paper introduces several commonly used text classification algorithms.By analyzing users'consumption behavior data,Naive Bayesian classification prediction algorithm,Bayesian Network classification prediction algorithm and Decision Tree classification prediction algorithm are selected to classify users.Experimental results show that Bayesian network classification prediction algorithm has good classification effect for users'communication consumption data.
text classificationnative Bayesbayesian networkdecision tree
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