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Minimm Suppodt Thresel Then Itern Is Silto Be A Orquenti T

Frequent itemset mining is a technique used to discover associations and relationships among items in large transactional datasets. It involves finding itemsets that satisfy both a minimum support threshold and a minimum confidence threshold. Association rules that meet these thresholds are called strong association rules and represent inferences that can be made from the data. While easy to implement, frequent itemset mining may still need to generate a huge number of candidate itemsets and repeatedly scan the whole dataset.

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Pranav Nayak
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63 views1 page

Minimm Suppodt Thresel Then Itern Is Silto Be A Orquenti T

Frequent itemset mining is a technique used to discover associations and relationships among items in large transactional datasets. It involves finding itemsets that satisfy both a minimum support threshold and a minimum confidence threshold. Association rules that meet these thresholds are called strong association rules and represent inferences that can be made from the data. While easy to implement, frequent itemset mining may still need to generate a huge number of candidate itemsets and repeatedly scan the whole dataset.

Uploaded by

Pranav Nayak
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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