Introduction to Knowledge Discovery and Data Mining

Introduction to Knowledge Discovery and Data Mining

University

25 Qs

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Introduction to Knowledge Discovery and Data Mining

Introduction to Knowledge Discovery and Data Mining

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Fajar Dziki

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25 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

what is the goal of clustering in data mining?

To predict future outcomes based on past data.

To derive models for clinical decision making.

To partition a data set into groups of similar objects.

To generate rules from market-basket data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The objects within the same cluster should have high...?

Heterogeneity

Separation

Homogeneity

Dimensionality

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What term is used to describe the dissimilarity between objects belonging to different clusters?

Homogeneity

Separation

Association

Classification

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is mentioned as a common technique in data mining?

Data cleaning

Data transformation

Clustering

Data selection

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of learning is clustering considered in data mining?

Supervised learning

Reinforcement learning

Unsupervised learning

Deep learning

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

classification aims to do what with a new item of unknown class?

Summarize its features

Predict its class

Reduce its dimensionality

Find associations with other items

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of association rules ?

To predict a continuous value.

To group similar data points.

To generate rules from market-basket data.

To classify data into predefined categories.

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