1. Which of the following issue is considered before investing in Data Mining?
[A]Functionality
[B]Compatibility
[C]Vendor consideration
[D]All of the above
2. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory is known as Bayesian classifiers.
[A]TRUE
[B]FALSE
[C]
[D]
3. What would be the right sequence for Data Mining activities?
[A]Infrastructure, exploration, analysis, interpretation, exploitation
[B]Infrastructure, exploration, analysis, exploitation, interpretation
[C]Infrastructure, analysis, exploration, interpretation, exploitation
[D]Infrastructure, analysis, exploration, exploitation, interpretation
4. Dimensionality reduction reduces the data set size by removing ____________.
[A] Relevant attributes
[B]Irrelevant attributes
[C]Derived attributes
[D]Composite attributes
5. What is Strategic value of data mining?
[A]Work Sensitive
[B]Cost Sensitive
[C]Time Sensitive
[D]Technical Sensitive
6. The most “representative” point of a cluster is known as?
[A]Centroid
[B]Medoid
[C]Mean
[D]Centre
7. Which method to determine outlier tries to determine the model from the input data?
[A]Parametric
[B]Nonparametric
[C]Supervised
[D]Unsupervised
8. Which method is used to cluster high dimensional data?
[A]CLARANS
[B]BIRCH
[C]STING
[D]CLIQUE
9. In fuzzy clustering, a point belongs to every cluster with some weight between 0 and 1.
[A]TRUE
[B]FALSE
[C]
[D]
10. Dividing employees into different training groups by last name in alphabetically sorted order is an example of cluster analysis.
[A]TRUE
[B]FALSE
[C]
[D]
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