Mining frequent items

What do you mean by support(A)?

• Total number of transactions containing A

• Total Number of transactions not containing A

• Number of transactions containing A / Total number of transactions

• Number of transactions not containing A / Total number of transactions

Which of the following is direct application of frequent itemset mining?

• Social Network Analysis

• Market Basket Analysis

• Outlier Detection

• Intrusion Detection

Tid Items bought

10 Ball, Nuts, Pen

20 Ball, Coffee, Pen, Nuts

30 Ball, Pen, Eggs

40 Ball, Nuts, Eggs, Milk

50 Nuts, Coffee, Pen, Eggs, Milk

Table 1: Transactions from a database.

Given the transaction in Table 1 and minsup s = 50%, how many frequent 3-itemsets are there?

• 1

• 0

• 2

• 3

If we know the support of itemset {a, b} is 10, which of the following numbers are the possible supports of itemset {a, b, c}?

• 9

• 10

• 11

• 12

What is the effect of reducing min confidence criteria on the same?

• Number of association rules remains same

• Some association rules will add to the current set of association rules

• Some association rules will become invalid while others might become a rule

• Can not say