Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mining frequent itemsets is a crucial step in association rule mining. Hover, most algorithms mining frequent itemsets scan databases many times, which decreases the efficiency. , the relationship beten 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 of frequent itemsets is compressed effectively. An algorithm for mining frequent itemsets based on PCL is proposed, which prunes infrequent concepts timely and dynamically during the PCL's construction according to the Apriori property. The efficiency of the algorithm is demonstrated with experiments.
['Xuegang Hu', 'Wei Liu', 'Dexing Wang', 'Xindong Wu']
I am writing a research paper on a idea Mining Frequent Itemsets Using a Pruned Concept Lattice
[{"from": "human", "value": "I am writing a research paper on a idea Mining Frequent Itemsets Using a Pruned Concept Lattice"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mining frequent itemsets is a crucial step in association rule mining. Hover, most algorithms mining frequent itemsets scan databases many times, which decreases the efficiency. , the relationship beten 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 of frequent itemsets is compressed effectively. An algorithm for mining frequent itemsets based on PCL is proposed, which prunes infrequent concepts timely and dynamically during the PCL's construction according to the Apriori property. The efficiency of the algorithm is demonstrated with experiments."}]