A New Approach to Mine Frequent Pattern in Spatial Database using TFP-Tree

Today there are several skilled algorithms to mine frequent patterns. Frequent item set mining providesthe associations and correlations among items in large transactional or relational database. In this paper a new approach to mine frequent pattern in spatial database using TFP-tree is proposed. The proposed approach generates a TFP-tree that specifies the generations of frequent patterns. Our analysis approach generates maximal frequent patterns and performs only minimal generalizations of frequent candidate sets.