Data Mining MCQs (Chapterwise Multiple Choice Questions)

Data items grouped into relationships and preferences are known as:

Predictable Sets

Punctional Organizations

Degrees of Fit

Clusters

Answer & Explanation

Correct Answer: Clusters

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What is Pig

A programming language that enables Hadoop to operate as a data warehouse.

None of these

A programming language that simplifies the common tasks of working with Hadoop.

Answer & Explanation

Correct Answer: A programming language that simplifies the common tasks of working with Hadoop.

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In which type of analysis is a Kohonen feature map typically employed?

Descriptive modeling analysis

Cluster analysis

Exploratory data analysis

Predictive analysis

Answer & Explanation

Correct Answer: Cluster analysis

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What is Hive

Both of these

Hive enables Hadoop to operate as a data warehouse.

Hive is a programming language that simplifies the common tasks of working with Hadoop.

Answer & Explanation

Correct Answer: Hive enables Hadoop to operate as a data warehouse.

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The level of the model that specifies (often graphically) which variables are locally dependent on each other.

Structural Level

Qualitative Level

Primary Level

Quantitative Level

Answer & Explanation

Correct Answer: Structural Level

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To increase the confidence of your state of classification performance on the entire population, you should:

Decrease the size of the training dataset

Increase the size of the training dataset

Increase the size of the test dataset

Decrease the size of the test dataset

Answer & Explanation

Correct Answer: Increase the size of the test dataset

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Which of the following is part of a retail customer data mining strategy?

customer testimonials

holiday sale

money-back guarantee

loyalty cards

Answer & Explanation

Correct Answer: loyalty cards

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What is Regression?

Learning a function that maps a data item into one of several predefined groups.

An expression E in a language L describing facts in a subset FE of F.

A descriptive task where one seeks to identify a finite set of categories to describe the data.

Learning a function that maps a data item to a real-valued prediction variable.

Answer & Explanation

Correct Answer: Learning a function that maps a data item to a real-valued prediction variable.

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Which of the following is NOT a method of combining multiple models into an ensemble model?

Voting

Stacking

Averaging

Bootstrapping

Answer & Explanation

Correct Answer: Bootstrapping

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What is the advantage of the k-Medoids Clustering Algorithm over the k-Means Clustering (Lloyd's) Algorithm?

uses iterative refinement

more resistant to outliers

all of the above

represents clusters by center

Answer & Explanation

Correct Answer: more resistant to outliers

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Data Mining Quick Quiz

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