Introduction to Computing MCQs with Answers
Practice important Introduction to Computing MCQs with answers and explanations.
Chapter: 167
Q2321:
Fill in the blank: Data mining techniques are closely associated with __________ and have origins in statistical analysis.
A. computer science
B. networking
C. operational databases
D. statistical analysis
Correct Answer:
D
Chapter: 168
Q2322:
What is the primary goal of cluster analysis in data mining?
A. To discover classes
B. To describe properties within classes
C. To find links between data groups
D. To identify outliers
Correct Answer:
A
Chapter: 168
Q2323:
Which form of data mining identifies data entries that do not comply with the norm?
A. Association analysis
B. Sequential pattern analysis
C. Outlier analysis
D. Cluster analysis
Correct Answer:
C
Chapter: 168
Q2324:
What is association analysis used to find in data mining?
A. Links between data groups
B. Trends over time
C. Data entries that do not comply with the norm
D. Properties of data items
Correct Answer:
A
Chapter: 168
Q2325:
What type of analysis might reveal that customers who buy potato chips also buy beer and soda?
A. Sequential pattern analysis
B. Outlier analysis
C. Cluster analysis
D. Association analysis
Correct Answer:
D
Chapter: 168
Q2326:
Which form of data mining focuses on identifying patterns of behavior over time?
A. Outlier analysis
B. Cluster analysis
C. Sequential pattern analysis
D. Association analysis
Correct Answer:
C
Chapter: 168
Q2327:
What does sequential pattern analysis often reveal in economic systems?
A. Trends and patterns over time
B. Data entries that deviate from the norm
C. Class properties of data
D. Links between different data groups
Correct Answer:
A
Chapter: 168
Q2328:
In data mining, what is the term used for presenting data in multiple perspectives?
A. Data warehouse
B. Data cube
C. Data mining
D. Data cluster
Correct Answer:
B
Chapter: 168
Q2329:
What kind of issues should be considered when evaluating data mining results?
A. Ethical issues
B. Technical issues
C. Financial issues
D. Time issues
Correct Answer:
A
Chapter: 168
Q2330:
How can data mining help in identifying potential credit card theft?
A. By analyzing patterns of credit card use
B. By clustering customers into age groups
C. By identifying outliers in purchase patterns
D. By linking purchases with other items
Correct Answer:
C
Chapter: 168
Q2331:
What might a data mining project aimed at understanding DNA reveal?
A. Patterns of genetic information
B. Links between different types of purchases
C. Clusters of customer age groups
D. Trends in economic systems
Correct Answer:
A
Chapter: 168
Q2332:
What does outlier analysis aim to detect in data?
A. Unexpected or unusual data entries
B. Links between different data groups
C. Patterns of behavior over time
D. Properties of known classes
Correct Answer:
A
Chapter: 168
Q2333:
Which data mining technique would be used to understand the patterns in customer purchase behavior over time?
A. Cluster analysis
B. Sequential pattern analysis
C. Association analysis
D. Outlier analysis
Correct Answer:
B
Chapter: 168
Q2334:
What can database technology provide to aid in data mining?
A. Data cubes
B. Data clusters
C. Data warehouses
D. Data entries
Correct Answer:
A
Chapter: 168
Q2335:
Why is intelligent judgment important in data mining?
A. To determine the significance of discovered patterns
B. To categorize data into predefined classes
C. To find errors in data entries
D. To link different data groups
Correct Answer:
A
Chapter: 168
Q2336:
What is an example of using sequential pattern analysis?
A. Identifying trends in climate conditions
B. Discovering clusters of customer preferences
C. Finding associations between different products
D. Recognizing errors in data entries
Correct Answer:
A
Chapter: 168
Q2337:
What should be considered when determining the relevance of data mining results?
A. Ethical issues
B. Data accuracy
C. Research methods
D. Technical skills
Correct Answer:
A
Chapter: 169
Q2338:
What is one potential benefit of automated library systems?
A. Increased reading habits accessibility
B. Reduced book availability
C. Limited search capabilities
D. Higher book prices
Correct Answer:
A
Chapter: 169
Q2339:
How can retailers benefit from maintaining records of their customers’ purchases?
A. By increasing the availability of books
B. By understanding customer purchasing patterns
C. By limiting product variety
D. By reducing the need for marketing
Correct Answer:
B
Chapter: 169
Q2340:
What is an example of subtle data collection?
A. A survey asking for personal information
B. A website recording visitor identities
C. A credit company asking for explicit consent
D. A store issuing discount cards
Correct Answer:
B