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Database MCQ - Data Mining

66 In collaborative filtering based recommendation, the items are recommended based on:

67 The major limitation of collaborative filtering is:
a. Cold start
b. Overspecialization

A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.

68 Suppose that the system is now given a new mail to be classified as spam/ not-spam, what is the probability that the mail will be classified as spam?

A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.

69 Find the probability that, given a mail classified as spam by the system, the mail actually being spam

A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.

70 Given that a mail is classified as not spam, the probability of the mail actually being not spam

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Question:

Hidden knowledge referred to

A. A set of databases from different vendors, possibly using different database paradigms
B. An approach to a problem that is not guaranteed to work but performs well in most cases
C. Information that is hidden in a database and that cannot be recovered by a simple SQL query.
D. None of these

Correct answer: C

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