Research on Naïve Bayesian Classifier’s independence assumption

doi:10.3778/j.issn.1002-8331.2008.34.043

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (34): 139-141.DOI: 10.3778/j.issn.1002-8331.2008.34.043

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Research on Naïve Bayesian Classifier’s independence assumption

FAN Jin-jin¹,LIU Peng²

1.School of Information Management and Engineering，Shanghai University of Finance and Economics，Shanghai 200433，China
2.Department of Human Resources，Shanghai University of Finance and Economics，Shanghai 200433，China

Received:2008-05-07 Revised:2008-08-11 Online:2008-12-01 Published:2008-12-01
Contact: FAN Jin-jin

朴素贝叶斯分类器的独立性假设研究

范金金¹,刘鹏²

1.上海财经大学信息管理与工程学院，上海 200433
2.上海财经大学人事处，上海 200433

通讯作者: 范金金

Abstract

Abstract: Naïve Bayesian Classifier（NBC） is a simple and effective classification model.In this paper，after the introduction of the basic principle of the NBC model，the independence assumption of the model is analyzed.Based on the summary of the current research of the independence assumption，It is concluded that the satisfaction of the independence assumption is not a necessary condition for the NBC model’s efficiency，through the demonstration from an example and some experimental analysis.

Key words: data mining, Naï, ve Bayesian Classifier（NBC） model, independence assumption

摘要： 朴素贝叶斯分类器（NBC）是一种简洁而有效的分类模型。介绍了NBC模型的基本原理，并着重分析了该模型的独立性假设条件。在总结现有独立性假设研究的基础上，通过例子和实验分析得出结论：NBC模型的表现和独立性假设是否满足没有必然联系。

关键词: 数据挖掘, 朴素贝叶斯分类器, 独立性假设

FAN Jin-jin¹,LIU Peng². Research on Naïve Bayesian Classifier’s independence assumption[J]. Computer Engineering and Applications, 2008, 44(34): 139-141.

范金金¹,刘鹏². 朴素贝叶斯分类器的独立性假设研究[J]. 计算机工程与应用, 2008, 44(34): 139-141.

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Research on Naïve Bayesian Classifier’s independence assumption

朴素贝叶斯分类器的独立性假设研究

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