Research on Classification Methods of Uncertain Data

SHEN Jie;XU Gaojian;YANG Yang;LI Shaowen;School of Information and Computer,Anhui Agriculture University;  

Traditional classification method has a successful application in various fields for the classification of determined knowledge;however,it cannot satisfy the demand for classification of complex uncertain knowledge.Hence,a series of classification methods for uncertain knowledge have emerged.Based on extensive research in this paper,it is proved that at present,classic classification algorithms and improved methods for classifying uncertain data have been greatly developed,such as the improved classification methods about Support Vector Machines,Naive Bayes and Decision Tree.

【Key Words】： uncertain data classification support vector machines Naive Bayes Decision Tree
【Fund】： 国家自然科学基金项目“农业领域(茶学)云本体建模与方法研究”(31271615)
【CateGory Index】： TP18;TP311.13

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