Solution-Derive the set of frequent items

Derive the set of frequent items

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Reference no: EM131113237

Since items have different expected frequencies of sales, it is desirable to usegroup-based minimum support thresholds set up by users. For example, one may set up a small min support for the group of cameras but a rather large one for the group of bread. Outline an FP growth-like algorithm that derive the set of frequent items efficiently in a transaction database.

Suppose each item is associated with a group ID.

Reference no: EM131113237

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Derive the set of frequent items : Since items have different expected frequencies of sales, it is desirable to usegroup-based minimum support thresholds set up by users. For example, one may set up a small min support for the group of cameras but a rather large one for the group o..

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Derive the set of frequent items

Reference no: EM131113237

Reference no: EM131113237

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