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- 1. Multiple Choice
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
- 2. Multiple Choice
Which of the following is direct application of frequent itemset mining?
Social Network Analysis
Market Basket Analysis
Outlier Detection
Intrusion Detection
- 3. Multiple Choice
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
- 4. Multiple Choice
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
- 5. Multiple Choice
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
- 6. Multiple Choice
Choose which data mining task is suitable for the following scenario: first buy digital camera, then buy large SD memory cards
Classification
Sequential pattern analysis
Association rule
Prediction
- 7. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: Identifying an unexpected/unusual amount of spending
Prediction
Sequential pattern analysis
Association rules
Anomaly detection
- 8. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: diagnosing the level of flood severity
Prediction
Classification
Anomaly detection
Association rules
- 9. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: detecting the dosage of medicine for a certain treatment
Prediction
Classification
Association rules
Sequential pattern analysis
- 10. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: grouping participants in a weight loss campaign
Classification
Clustering
Prediction
Association rules
- 11. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: determining the stock value of a certain company
Prediction
Classification
Clustering
Association rules
- 12. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: determining the best location to be recommended a tourist club (multiple answers)
Association rules
Clustering
Classification
Prediction
- 13. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: determining the rating when a location is recommended to a tourist club member
Classification
Prediction
Clustering
Association rules
- 14. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: determining which tour group is suitable to a new member based on her past location ratings
Prediction
Classification
Clustering
Anomaly detection
- 15. Multiple Choice
Choose which data mining task is the most suitable for the following scenario: determining the thumbs up/thumbs down of a social media post
Prediction
Association rules
Classification
Clustering
- 16. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
To subdivide a market into distinct subset of customers where each subset can be targeted with a distinct marketing mix
Classification
Prediction
Clustering
Association rules
- 17. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
To identify items that are bought concomitantly by a reasonable fraction of customers so that they can be shelved.
Classification
Association rules
Clustering
Prediction
- 18. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
To find groups of documents that are similar to each other based on important terms appearing in them
Classification
Clustering
Prediction
Association rules
- 19. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
To reduce cost of mailing by targeting a set of consumers likely to buy a new cell phone product
Classification
Association rules
Clustering
Prediction
- 20. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
Predict fraudulent cases in credit card transactions (multiple answers)
Classification
Association rules
Anomaly detection
Clustering
- 21. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
To guess wind velocities based on temperature, humidity, air pressure, etc
Classification
Association rules
Prediction
Anomaly detection
- 22. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
Given a set of n points or objects, and k, the expected number of outliers, find the top k objects that considerably dissimilar, exceptional or inconsistent with the remaining data
Classification
Association rules
Clustering
Anomaly detection
- 23. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
Based on past usage patterns, develop model for authorized credit card transactions
Classification
Association rules
Clustering
Anomaly detection
- 24. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
Given is a set of objects, with each object associated with its own time of events, find rules that predict strong sequential dependencies among different events
Classification
Sequential pattern analysis
Clustering
Association rules
- 25. Multiple Choice
Choose which data mining task is the most suitable for the following scenario:
Given the records of books that a group of people read, find relationship of the genre pattern
Classification
Association rules
Clustering
Prediction
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