Study on the Discovery Algorithm of the Frequent Item Sets

Data mining technology is an interdisciplinary which has developed rapidly at home. It involves database, statistics, artificial intelligence, machine learning and other fields. The popularity of computer use produced a large amount of data. Data mining utilize scientific to deal with large volume of data. There are variety use of application of data mining technology and it will play more and more major role in all areas of our future society. Association rule mining is the main research of data mining, while the discovery of frequent item sets is the core issue of association rule mining. Consequently, this article focuses on the discovery of frequent item sets algorithm and draw a conclusion on some steps for association rule mining. It also have brief analysis of classical algorithm about Apriori, point to the key steps of association rule mining and when put forward an improved algorithm: PS algorithm.