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Data mining for MCA No1

Authored by Kausalya Subrahmanyam

Other, Special Education

University

Used 2+ times

Data mining for MCA No1
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10 questions

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1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Traditional database differ in data mining by

Query

Data

Output

All of the above

None of the above

2.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Data mining algorithms is characterized as three parts

Model

Preference

Search

All of the above

3.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

This model is not a predictive model

Classification

Clustering

Regression

Time series analysis

4.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Classification is called as

Supervised learning

Unsupervised learning

Segmentation

Partition

5.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

The process of finding useful information in data is

Data mining

Data cleaning

Knowledge Discovery in Database

Data selection

6.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

The model that describe the relationship between input and output through the use of algebraic equations

Decision Tree Model

Neural Network Model

Parametric model

Non-parametric model

7.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

P(h1) is

Prior probability

Posterior probability

Conditional probability

general probability

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