Reduction And Rule Extraction In Factor Analysis Table

Now in this era of information explosion,all sorts of data are increasing frantically,and that makes the following things very important.How to simplify huge amounts of data and make the streamlined data does not lose information compared to the original data,and how to extract useful information and knowl-edge from simplified data.So as a basis for important mathematical theories of database application,factor space theory and formal concept analysis have played a very big role.This paper combines the two different but both important theories,starting from the factor analysis table,introduces how to induce the corresponding formal context,then get the reduction method of deriving the irreducible formal context,and the method of extracting rules from the irreducible analysis table by using the theory of descriptor dependency,i.e.how to derive useful information from the data.