The Extraction Of Concept In Factor Spaces

In the era of big data, how to get a feasible method of the extraction of concept is particularly important , according to the the application of the existing theory like factors space and the formal concept analysis in the database , based on the above two kinds of different theory my article starts from the factor analysis table using the relationship of the descriptor operation define the factor calculations, and then form a factor space based on the factor analysis table, using the relationship of descriptor and its support to find all of the atoms concept, and then combined with method of how to form the concept in the formal context , we can give a method of forming the concept in factor space which used the descriptor, and forms the concept lattice according to the parent-child relationships between concepts , which can deepen our understanding of space structure.