1
Which measure represents how often an itemset appears in the dataset?
Correct AnswerB. Support
☑ MCQ PRACTICE
Data Mining Unit 2
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
2
Which algorithm is used for frequent itemset mining?
Correct AnswerC. Apriori algorithm
3
The measure that shows reliability of an association rule is
Correct AnswerB. Confidence
4
An itemset whose support is greater than or equal to a minimum support threshold is ___________________
Correct AnswerB. Frequent Itemset
5
Which of the following is a data reduction technique?
Correct AnswerC. Sampling
6
What does FP growth algorithm do?
Correct AnswerC. It mines all frequent patterns by constructing a FP tree
7
What do you mean by support (A)?
Correct AnswerC. Number of transactions containing A / Total number of transactions
8
Which of the following is not a measure of association used in association rule mining?
Correct AnswerD. Entropy
9
Rule: “Age(20–29) ∧ Occupation(Student) => Buys(Laptop)” is
Correct AnswerB. Multidimensional
10
Which algorithm requires multiple scans of data?
Correct AnswerA. Apriori
11
Market basket analysis is an example of_____________
Correct AnswerC. Association rule mining
12
Which of the following is the direct application of frequent itemset mining?
Correct AnswerB. Market Basket Analysis
13
Which of the following is not a type of attribute used in data mining?
Correct AnswerD. Decimal
14
The step in Apriori where infrequent candidates are removed is
Correct AnswerB. Prune step
15
Apriori property states that
Correct AnswerA. All supersets of infrequent itemset will be infrequent
16
______________________ Association Rule mining is used to discover relationships between items at different levels of granularity.
Correct AnswerA. Multilevel
17
The data structure used in FP-Growth algorithm is
Correct AnswerB. FP-tree
18
Which of the following is not a type of correlation?
Correct AnswerC. Null
19
The interesting patterns are presented to the user and may be stored as new knowledge in the ______.
Correct AnswerC. Knowledge base
Fill in the Blanks
20
____________________ is a popular form of background knowledge, which allows data to be mined at multiple levels.
AnswerConcept hierarchy
21
The FP Growth algorithm is a popular method for frequent pattern mining in data mining. It works by constructing ________________
AnswerFP-Tree
22
How do you calculate Confidence (A -> B)? ___________________________________
AnswerSupport (A,B) / Support (A)
23
How do you calculate Lift {Bread -> Milk}? ____________________________________
AnswerSupport (Bread,Milk) / (Support (Bread) * Support (Milk))
24
Correlation Analysis is a data mining technique used to identify ___________________
AnswerDegree of relationships
25
The ________________ is not suitable for handling large datasets because it generates a large number of candidates.
AnswerApriori algorithm
26
The FP-tree (Frequent Pattern tree) is a data structure used in the FP Growth algorithm that stores the ______________ and _____________________.
AnswerFrequent item sets and their support counts
27
Association rules that involve two or more dimensions or predicates can be referred to as ____________________________________.
AnswerMultidimensional association rules
28
Multilevel association rules can be mined efficiently using ____________________________.
AnswerConcept hierarchies
29
Association rules that involve single dimension or predicate can be referred to as a ______________________ association rule.
AnswerSingle dimensional or intra dimensional
30
Quantitative association rules having __________________ on the left-hand side and ______________________ on the right-hand side of the rule.
AnswerQuantitative attributes, categorical attribute
31
Steps in Apriori algorithm are ____________________ and __________________
AnswerJoin, Prune
32
If there is a pair of items, X and Y, which are frequently bought together then association rule is represented as _______________________.
AnswerX => Y
33
Positive correlation exists when both variables move in the _______ direction.
AnswerSame