Based on rough set of associative rules improve algorithm of data mining

According to information system theory and from the equivalent and support the concept of view, it is easy to find the frequency of collection and confirm the relevant rules of coarse. Under in-depth and systematic research on RS theory and associate rules mining algorithms, This paper make some improvement based on original algorithms. The first and the foremost, this paper proposes an efficient algorithm for counting core and a reduction algorithm of attributes based on discernibility matrix which can handle the knowledge system and make the extraction of decision-rules convenient. Secondly, it put forward a mining model of association rules with decision attributes based on Apriori, AprioriTid and AprioriHybrid algorithms, which also optimize them.