Review of Classification Algorithms in Data Mining
Jie Xia · Keji daobao · 2006
With the application of database deepening and the size of database expanding quickly, Data Mining has recently become the hotspot. Classification, the problem among them especially because of its extensive usage, has acquired more and more concerns presently. On account of this, the article carried on an overview according to the present condition of data mining's classification. Firstly, the article discussed in detail the classification methods that were researched widely, such as Decision Tree, Artificial Neural Network and Bayesian classification. Secondly, the article analyzed the new brought forward algorithms briefly. Lastly, according to the data mining's developmental conditions and the emphases of research, the article forecasted the trends of the next research of classification.