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FPGrowth Parameter Tuning to avoid identifying people when attributes used in example set
Contributor I
Is there any guidance on how to tune FPGrowth to provide "some" degree of protection against creating association rules from data which includes peoples responses to survey questions?
If I want to generate rules that included at least "k" people in any 1 association rule. Is it enough to set min items per itemset to "k" and does it make more sense to use frequency or support as the measure?
If I want to generate rules that included at least "k" people in any 1 association rule. Is it enough to set min items per itemset to "k" and does it make more sense to use frequency or support as the measure?
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