Association rules mining algorithm based on Rough Set

摘要

Association rules mining algorithm based on Rough Set theory is put forward using the idea of Rough Set theory, which applies the improved Apriori algorithm in association rules mining on the basis of Decision Table. The advantage of this method lies in three aspects, including the elimination of redundancy attributes, reducing the number of attributes, while scanning Decision Table just once can produce decision attribute sets. Application example analysis shows that this is an effective and fast data mining method.