Basics of Data Mining

Basics of Data Mining

University

14 Qs

quiz-placeholder

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Basics of Data Mining

Basics of Data Mining

Assessment

Quiz

Computers

University

Medium

Created by

Savita Mohurle

Used 1+ times

FREE Resource

14 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

_____ is when any data point deviate fully from rest of the data points in a dataset.

Contextual outlier

Collective outlier

Point outlier

Recent outlier

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The random error or variance in data is called ____.

noise

outlier

duplicate value

missing value

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

_____ method identifies the relation among two dependent attributes so that if we have one attribute, it can be used to predict the other attribute.

Regression

Clustering

Classification

Normalization

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

summarize the data after integrating it collected from various sources is called as ______.

Regression

Normalization

Aggregation

Smoothing

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

_____ divides the continuous attributes values into intervals by top-down and bottom-up techniques

Normalization

Discretization

Aggregation

Regression

6.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

____ is an abstract concept that refers to that which has the power to inform.

Pattern

Data

Information

Knowledge

7.

MULTIPLE CHOICE QUESTION

5 sec • 1 pt

A ____ is a series of data that repeats in a recognizable way.

Information

Data

Knowledge

Pattern

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