Data Mining (3160714) MCQs

MCQs of Concept Description, Mining Frequent Patterns, Associations and Correlations

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1.

What is association rule mining?

(a)

Same as frequent itemset mining
(b)

Finding of strong association rules using frequent itemsets
(c)

Using association to analyze correlation rules
(d)

Finding Itemsets for future trends
Answer:

Option (b)

2.

What will happen if support is reduced?

(a)

Number of frequent itemsets remains the same
(b)

Some itemsets will add to the current set of frequent itemsets
(c)

Some itemsets will become infrequent while others will become frequent
(d)

Can not say
Answer:

Option (b)

3.

Which algorithm requires fewer scans of data?

(a)

Apriori
(b)

FP Growth
(c)

Naive Bayes
(d)

Decision Trees

 
Answer:

Option (b)

4.

What is the relation between a candidate and frequent itemsets?

(a)

A candidate itemset is always a frequent itemset
(b)

A frequent itemset must be a candidate itemset
(c)

No relation between these two
(d)

Strong relation with transactions
Answer:

Option (b)

5.

When do you consider an association rule interesting?

(a)

If it only satisfies min_support
(b)

If it only satisfies min_confidence
(c)

If it satisfies both min_support and min_confidence
(d)

There are other measures to check so
Answer:

Option (c)

6.

What is not true about FP growth algorithm?

(a)

It mines frequent itemsets without candidate generation
(b)

There are chances that FP trees may not fit in the memory
(c)

FP trees are very expensive to build
(d)

It expands the original database to build FP trees
Answer:

Option (d)

7.

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

(a)

Social Network Analysis
(b)

Market Basket Analysis
(c)

Outlier Detection
(d)

Intrusion Detection
Answer:

Option (b)

8.

What do you mean by Support(A)?

(a)

Total number of transactions containing A
(b)

Total Number of transactions not containing A
(c)

Number of transactions containing A / Total number of transactions
(d)

Number of transactions not containing A / Total number of transactions
Answer:

Option (c)

9.

An itemset whose support is greater than or equal to a minimum support threshold is ______

(a)

Itemset
(b)

Frequent Itemset
(c)

Infrequent items
(d)

Threshold values
Answer:

Option (b)

10.

Frequency of occurrence of an itemset is called as _____

(a)

Support
(b)

Confidence
(c)

Support Count
(d)

Rules
Answer:

Option (c)

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