Research of Association Rules Algorithm in Data Mining
Yi Xu · International Journal of Database Theory and Application · 2016
With the rapid development of information technology, the data is becoming more and more large, the data mining technology has been applied to many fields in the life.In view of the existing data mining algorithms complexity is too high, the execution time too long, the article applies association rules in data mining technology, analysis summarized the existing advantages and disadvantages of the classic data mining association rules algorithm, is proposed for mining maximum frequent itemsets MFP -Miner algorithm.At last, by experimental simulation result shows that the proposed algorithm performance superiority, its complexity and execution time significantly shortened, the practical guiding significance.