Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose the algorithm PASCAL which introduces a novel optimization of the ll-known algorithm Apriori. This optimization is based on a new strategy called pattern counting inference that relies on the concept of key patterns.  show that the support of frequent non-key patterns can be inferred from frequent key patterns without accessing the database. Experiments comparing PASCAL to the three algorithms Apriori, Close and Max-Miner, show that PASCAL is among the most efficient algorithms for mining frequent patterns.
['Yves Bastide', 'Rafik Taouil', 'Nicolas Pasquier', 'Gerd Stumme', 'Lotfi Lakhal']
I am writing a research paper on a idea Mining frequent patterns with counting inference
[{"from": "human", "value": "I am writing a research paper on a idea Mining frequent patterns with counting inference"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose the algorithm PASCAL which introduces a novel optimization of the ll-known algorithm Apriori. This optimization is based on a new strategy called pattern counting inference that relies on the concept of key patterns.  show that the support of frequent non-key patterns can be inferred from frequent key patterns without accessing the database. Experiments comparing PASCAL to the three algorithms Apriori, Close and Max-Miner, show that PASCAL is among the most efficient algorithms for mining frequent patterns."}]