The Algolrithm of Data Classification Unearth Based on Bayesian Belief Network
Li Yun · 2006
Bayesian approach is an important method in statistics.Data classification is an important task of data mi- ming.To discover a high-performance,high-speed classification is one of key problems for data mining.In this paper,we introduce the Bayesian belief nerwork.Because these algorithms are very slow,we introduce a method based on com- pressive candidates,which greatly speed up the study process.At last we prove that this method is reasonable for its ap- plication on live data.