Classification in Data mining MCQs

1. Data mining is defined as?

(A) A subject-oriented integrated time-variant non-volatile collection of data in support of management

(B) The stage of selecting the right data for a KDD process

(C) The real discovery stage of a knowledge discovery process

(D) None of these

2. In some cases, telecommunication companies desire to segment their clients into distinct groups in order to send suitable and related subscription offers. This can be considered as an example of which of the following methods?

(A) Supervised learning

(B) Unsupervised learning

(C) Serration

(D) Data extraction

3. How to define Classification accuracy?

(A) A subdivision of a set of examples into a number of classes

(B) The task of assigning a classification to a set of examples

(C) Measure of the accuracy of the classification of a concept that is given by a certain theory

(D) None of these

4. Which of the following produces the relation that has attributes of R1 and R2?

(A) Intersection

(B) Difference

(C) Cartesian product

(D) Product

5. Self-organizing maps are the best example of which of the following?

(A) Unsupervised learning

(B) Supervised learning

(C) Reinforcement learning

(D) Missing data imputation

6. You are given data about seismic activity in the United States, and you want to predict the magnitude of the upcoming earthquake. This can be considered as an example of which of the following methods?

(A) Supervised learning

(B) Unsupervised learning

(C) Serration

(D) Dimensionality reduction

7. Suppose we are predicting the number of children based on storks’ population size. Number of children is:

(A) Observation

(B) Feature

(C) Attribute

(D) Outcome

8. Which is considered before investing in Data Mining?

(A) Functionality

(B) Vendor consideration

(C) Compatibility

(D) A, B, and C

9. An Algorithm is:

(A) An Algorithm uses machine-learning techniques. Here program can learn from previous experience and adjust themselves to upcoming situations

(B) Science of making machines perform tasks that would need intelligence when executed by humans

(C) An Algorithm is a Computational procedure that takes some value as input and produces some value as output

(D) None of these

10. A concept is a concept if it identifies all the instances of that concept:

(A) Constant

(B) Consistent

(C) Complete

(D) None of these

11. Which is the meaning of Data independence?

(A) Data is defined separately and not included in programs

(B) Programs are not dependent on the physical attributes of data

(C) Programs are not dependent on the logical attributes of data

(D) Both B and C

12. E-R model uses this symbol to represent weak entity set?

(A) Doubly outlined rectangle

(B) Diamond

(C) Dotted rectangle

(D) None of these