CCE-206 BA SC – BA - 02 Data Mining

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MBA-I SEM-II 2021-22 CCE

S. P. Mandali's
Prin. N.G.Naralkar Institute of Career Development & Research
536 Shaniwar Peth, Appa Balwant Chowk (ABC Chowk) Pune-411030

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CCE-206 BA SC – BA - 02 Data Mining

MBA-I SEM-II 2021-22 CCE

Background knowledge is…

a) It is a form of automatic learning.

b) A neural network that makes use of a hidden layer

c) The additional acquaintance used by a learning algorithm to facilitate the learning process

d) None of these

Clear selection

Which of the following is true for Classification?

a) A subdivision of a set

b) A measure of the accuracy

c) The task of assigning a classification

d) All of these

Clear selection

Data mining is?

a) time variant non-volatile collection of data

b) The actual discovery phase of a knowledge

c) The stage of selecting the right data

d) None of these

Clear selection

——- is not a data mining functionality?

A) Clustering and Analysis

B) Selection and interpretation

C) Classification and regression

D) Characterizantion and Discrimination

Clear selection

Which of the following can also applied to other forms?

a) Data streams & Sequence data

b) Networked data

c) Text & Spatial data

d) All of these

Clear selection

Which of the following is general characteristics or features of a target class of data?

a) Data selection

b) Data discrimination

c) Data Classification

d) Data Characterization

Clear selection

This clustering approach initially assumes that each data instance represents a single cluster. Select one:

a. expectation maximization

b. K-Means clustering

c. agglomerative clustering

d. conceptual clustering

Clear selection

The correlation coefficient for two real-valued attributes is What does this value tell you?

a. The attributes are not linearly related.

b. As the value of one attribute decreases the value of the second attribute increases.

c. As the value of one attribute increases the value of the second attribute also increases.

d. The attributes show a linear relationship

Clear selection

The correlation coefficient for two real-valued attributes is What does this value tell you?

a. The attributes are not linearly related.

b. As the value of one attribute decreases the value of the second attribute increases.

c. As the value of one attribute increases the value of the second attribute also increases.

d. The attributes show a linear relationship

Clear selection

Time Complexity of k-means is given by

a. O(mn)

b. O(tkn)

c. O(kn)

d. O(t2kn)

Clear selection

Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that

a. Y is false when X is known to be false.

b. Y is true when X is known to be true.

c. X is true when Y is known to be true

d. X is false when Y is known to be false

Clear selection

Chameleon is

a. Density based clustering algorithm

b. Partitioning based algorithm

c. Model based algorithm

d. Hierarchical clustering algorithm

Clear selection

In clusterings, points may belong to multiple clusters

a. Non exclusive

b. Partial

c. Fuzzy

d. Exclusive

Clear selection

Find odd man out

a. DBSCAN

b. K mean

c. PAM

d. K medoid

Clear selection

Which statement is true about the K-Means algorithm?

a. The output attribute must be cateogrical.

b. All attribute values must be categorical.

c. All attributes must be numeric

d. Attribute values may be either categorical or numeric

Clear selection

This data transformation technique works well when minimum and maximum values for a real-valued attribute are known.

a. z-score normalization

b. min-max normalization

c. logarithmic normalization

d. decimal scaling

Clear selection

Adaptive system management is

a. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations.

b. Computational procedure that takes some value as input and produces some value as output.

c. Science of making machines performs tasks that would require intelligence when performed by humans.

d. None of these

Clear selection

Bayesian classifiers is

a. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.

b. Any mechanism employed by a learning system to constrain the search space of a hypothesis.

c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.

d. None of these

Clear selection

Algorithm is

a. It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations.

b. Computational procedure that takes some value as input and produces some value as output.

c. Science of making machines performs tasks that would require intelligence when performed by humans.

d. None of these

Clear selection

Bias is

a. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.

b. Any mechanism employed by a learning system to constrain the search space of a hypothesis.

d. None of these

Clear selection

Background knowledge referred to

a. Additional acquaintance used by a learning algorithm to facilitate the learning process.

b. A neural network that makes use of a hidden layer.

c. It is a form of automatic learning.

d. None of these

Clear selection

Case-based learning is

a. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.

b. Any mechanism employed by a learning system to constrain the search space of a hypothesis.

d. None of these

Clear selection

Classification is

a. A subdivision of a set of examples into a number of classes.

b. A measure of the accuracy, of the classification of a concept that is given by a certain theory.

c. The task of assigning a classification to a set of examples

d. None of these

Clear selection

Binary attribute are

a. This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit

b. The natural environment of a certain species.

c. Systems that can be used without knowledge of internal operations.

d. None of these

Clear selection

Classification accuracy is

a. A subdivision of a set of examples into a number of classes

b. Measure of the accuracy, of the classification of a concept that is given by a certain theory.

c. The task of assigning a classification to a set of examples

d. None of these

Clear selection

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