Data Mining Quiz

Data Mining Quiz

University

10 Qs

quiz-placeholder

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Data Mining Quiz

Data Mining Quiz

Assessment

Quiz

Computers

University

Medium

Created by

RAMYA S

Used 12+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1. Which of the following is not a data mining task?




Classification

Clustering

Regression

Linear Programmin

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. 2.What are the functions of Data Mining?

  1. Association and correctional analysis classification

  1. Prediction and characterization

  1. Cluster analysis and Evolution analysis

  1. All of the above

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

3. What is the purpose of data preprocessing in data mining?

To transform raw data into a suitable format for analysis

To summarize data in a compact form

To generate new data from existing data

To visualize data for easier analysis

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

4.Which of the following can be considered as the correct process of Data Mining?

  1. Infrastructure, Exploration, Analysis, Interpretation, Exploitation

  1. Exploration, Infrastructure, Analysis, Interpretation, Exploitation

  1. Exploration, Infrastructure, Interpretation, Analysis, Exploitation

  1. Exploration, Infrastructure, Analysis, Exploitation, Interpretation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5.What is KDD in data mining?

  1. Knowledge Discovery Data

  1. Knowledge Data definition

  1. Knowledge data house

  1. Knowledge Discovery Database

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

6.Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?

  1. Warehousing

  1. Data Mining

  1. Text Mining

  1. Data Selection

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

7.Which of the following refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?

  1. Supervised learning

  1. Unsupervised learning

  1. Hybrid learning

  1. Reinforcement learning

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