A New Concise Representation Method of Generalized Frequent Itemsets

Mining generalized frequent item sets is one of important research area in data mining. Because not only the taxonomy data is widely exist, but also the information provided by the generalized frequent item sets is richer and valuable than the traditional frequent item sets. Like the traditional mining, the number of the generalized frequent item set is also very large, which make it difficult to do further analysis. We propose a new method called CGIP-summary, which represent the whole frequent generalized item sets by a set profiles and the profiles used to more concise.