The research that mining association rules are based on FEQCL reduced by uncertainty coefficient approach

摘要

It is reduced attribute landscape orientation by uncertainty coefficient. Frequent equivalent quantified concept lattices (QCL) constructed is an efficient tool, which represents form of knowledge, and data, which introduces frequent equivalent quantified base of the concept lattice. Association rule implicated among values of attributes of a database can be mined accurately according to the user's interesting and strong relativity attributes rather than a priori algorithm to compute frequent item set, then reduces lots of redundant association rules and improves the accuracy and efficiency of rules mining.