A New Approach to Mine Frequent Pattern in Spatial Database using TFP-Tree
نویسندگان
چکیده
Today there are several skilled algorithms to mine frequent patterns. Frequent item set mining provides the 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.
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