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Mining frequent itemsets is a crucial step in association rule mining. However, most algorithms mining frequent itemsets scan databases many times, which decreases the efficiency. In this paper, the relationship between a concept lattice and frequent itemsets is discussed, and the model of pruned concept lattice (PCL) is introduced to represent frequent itemsets in a given database, and the scale...
This paper adopts the idea of nearest neighbor and proposes a new approach called fast intuitive clustering approach (FICA). Besides, FICA also adds the concept of data compression to lower the operating times and coordinates with parameters to reach global search. A series of experiments have been conducted on FICA and other clustering algorithms, like K-means and DBSCAN. According to the simulation...
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