Data Mining | Week 2
Data Mining Week 2 Answers
link: Data Mining Week 2 (nptel.ac.in)
Q1. If a store has N items, the number of possible itemsets is
a. 2N-1
b. 2N-1
c. N/2
d. N-1
Q2. An association rule is valid if it satisfies:
a. Support criteria
b. Confidence criteria
c. Both support and confidence criteria
d. None of these
Q3. An itemset is frequent if it satisfies the:
a. Support criteria
b. Confidence criteria
c. Both support and confidence criteria
d. None of these
Q4. Which of the following property is used by the apriori algorithm:
a. Positive definiteness property of support
b. Positive semidefiniteness property of support
c. Monotone property of support
d. Antimonotone property of support
Q.5. Consider three itemsets I1={bat, ball, wicket}, I2={bat, ball}, I3={bat}. Which of the following statements are correct?
a. support(I1) > support(I2)
b. support(I2) > support(I3)
c. both statements A and B
d. none of the statements A and B
For questions 6-10, consider the following small database of four transactions. The minimum support is 60% and the minimum confidence is 80%.
Trans_id Itemlist
T1 {F, A, D, B}
T3 {C, A, B, E}
T4 {B, A, D}
Q6. The 1-itemsets that satisfy the support criteria are:
a. {A}, {B}, {C}, {D}
b. {A}. {B}, {C}
c. {A}, {B}
d. None of these
Q7. The 2-itemsets that satisfy the support criteria are:
c. {AE}, {BC}
d. {BC}
Q8. The 3-itemsets that satisfy the support criteria are:
a. {ABC}, {ABE}, {BCD}, {ACD}
b. {ABE}. {BCD}, {ACD}
c. {ABE}, {BCD}
d. {ABD}
Q9. Which of the following is NOT a valid association rule?
a. A -> B
c. A -> D
d. D -> A
Q10. Which of the following is NOT a valid association rule?
a. A -> DB
b. D -> AB
c. AD -> B
d. DB -> A