Data Mining Mcqs
Q.1: Where can a website operator generally find data on her customers' IP addresses?T
A. HTTP request headers
B. cookies
C. server logfiles
D. all of the above
Q.2: Which of the following is not valid JSON?)
A. {"answer": "this one"}&
B. {"answer": ["this one"]}(
C. {["answer": "this one"]}(
D. All are valid
Q.3: How do you measure interestingness in association patterns?;
A. measure variance
B. measure relevance
C. meaure accuracy
D. measure lift
Q.4: A descriptive approach to exploring data that can help identify relationships among values in a database is:l
A. Predictive analysis
B. Function activation
C. Link analysis
D. Clustering
Q.5: Which of the following is not an appropriate tool for harvesting data from a website that accesses its database through Javascript/AJAX calls?
A. All of the above are appropriate
B. Selenium
C. PhantomJS
D. wget
Q.6: The two major functions of BI servers are:*
A. Processing and management
B. Source and results
C. Management and delivery
D. Application and delivery
Q.7: What is the advantage of the k-Medoids Clustering Algorithm over the k-Means Clustering (Lloyd's) Algorithm?p
A. uses iterative refinement
B. more resistant to outliers
C. all of the above
D. represents clusters by center
Q.8: Which decision tree method performs multi-level splits when computing classification trees?[
A. ID3 (Iterative Dichotomiser 3)
B. C4.5 algorithm
C. CART (Classification and Regression Trees)*
D. CHAID (Chi Square Automatic Interaction Detection)2
Q.9: Which of the following is part of a retail customer data mining strategy?I
A. customer testimonials
B. holiday sale
C. money-back guarantee
D. loyalty cards
Q.10: Hash based technique, Transaction Reduction, Portioning, Sampling, and Dynamic Item Counting are all examples of what?v
A. Techniques to improve the efficiency of an Apriori algorithm<
B. Method to repeatedly scan the scan the database and check a large set of candidates by pattern matching.h
C. Methods of generating frequent item sets without candidate generation.F
D. Methods for finding a compact description for a subset of data.?

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