Study and realization of TMIS data automatic classification arithmetic
Leilei Zhang · Information technology newsletter · 2005
The technique of data automatic classification is to classify data into one or more classes according to certain strategy.This paper firstly reports two kinds of technique of data automatic category based on statistics(austerity Bayes classifier and supporting vector machine classifier),and analyses their advantages and disadvantages. The weakness of statistics-based automatic category is that the category precision decreases while the character intersection within classes increases, especially in the case of multi-layers classifying. In order to improve automatic category performance, rule-based automatic category is used.Combining statistics-based category with rule-based classifying method, this paper designs and realizes a system of mixing category lastly applied to TMIS, which has very good performance in category.