1. What is the primary goal of web usage mining in data mining?
a) To extract useful information and knowledge from web content
b) To analyze the structure of the web graph
c) To predict user behavior based on clickstream data
d) To classify websites into predefined categories
Answer: c) To predict user behavior based on clickstream data
2. Which of the following best describes the concept of web usage mining?
a) Extracting text from web pages
b) Analyzing the content of web pages
c) Discovering patterns and relationships within the hyperlink structure of the web
d) Analyzing user interactions with web resources
Answer: d) Analyzing user interactions with web resources
3. What is clickstream data in the context of web usage mining?
a) The sequence of mouse clicks made by a user on a web page
b) The process of downloading web pages
c) The extraction of metadata from web pages
d) The collection of web page URLs
Answer: a) The sequence of mouse clicks made by a user on a web page
4. Which technique is commonly used in web usage mining to model and analyze user behavior?
a) Association rule mining
b) Decision tree algorithms
c) Regression analysis
d) Clustering algorithms
Answer: a) Association rule mining
5. What is the purpose of sessionization in web usage mining?
a) To preprocess clickstream data
b) To analyze the sentiment of web users
c) To group related user interactions into sessions
d) To optimize web page loading times
Answer: c) To group related user interactions into sessions
6. Which of the following tasks is part of web usage mining?
a) Extracting text from web pages
b) Analyzing the content of web pages
c) Predicting user behavior based on clickstream data
d) Classifying websites into categories
Answer: c) Predicting user behavior based on clickstream data
7. What is the role of pattern discovery in web usage mining?
a) To analyze the relationships between web pages
b) To identify frequent sequences or patterns in user behavior
c) To extract text from hyperlinks
d) To preprocess clickstream data
Answer: b) To identify frequent sequences or patterns in user behavior
8. Which evaluation metric is commonly used to assess the performance of web usage mining models?
a) Precision and recall
b) Mean squared error (MSE)
c) Accuracy
d) F1-score
Answer: a) Precision and recall
9. What is a challenge in web usage mining related to data preprocessing?
a) Handling incomplete and noisy data
b) Optimizing web crawling algorithms
c) Analyzing dynamic and rapidly changing web structures
d) Selecting appropriate evaluation metrics
Answer: a) Handling incomplete and noisy data
10. Which type of analysis is NOT typically performed in web usage mining?
a) Sequential pattern mining
b) Cluster analysis
c) Sentiment analysis
d) Association rule mining
Answer: c) Sentiment analysis
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