The Frequent Itemsets Using Apriori Algorithm & Association Rules Question

Description

1. Using the following table of transactions, generate all the frequent itemsets using Apriori algorithm and then generate the interesting association rules. Also, show which of the interesting rules are positively correlated. Assume minsup >= 0.3 and minimum confidence >= 0.4.

TID	Itemset
1	A, B, D, E
2	A, C, D, E
3	A, B, F
4	B, D, E
5	A, E, F
6	B, E

Install MongoDB or use one cloud-based and then do the following
- Create a database
- Create a collection
- Write a number of INSERT statements to store many documents in the collection
- Write at least one of each of the following statements

i.USE

ii.INSERT

iii.FIND iv. DELETE

v.UPDATE

vi.SORT

vii.COUNT viii. AGGREGATE

I need a one-word file for the solution.
And another one for explaining the steps of the solution.

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