Data Mining - 1

Data Mining - 1

Assessment

Quiz

Created by

Dhanasekaran B N

Computers

University

1 plays

Hard

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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the definition of data mining?

It refers to the extraction of hidden predictive information from large databases.

The process of discovering pattern in large sets of data.

The intersection of computer science and statistics.

The technique used to retrieve hidden information from a data warehouse

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the goal of data mining?

To extract information from a dataset.

To understand the structure of the data.

To use advanced analytical methods

All of the above.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is another name for data mining?

Knowledge mining from data.

Knowledge mining.

Knowledge extraction

All of the above.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the main purpose of data mining techniques in prediction and description?

To predict sales forecast and analyze customer profiles

To select attributes of objects in a database to predict other variables of interest

To identify customers suitable for cross-selling

To assess and view individuals in the market based on their status and need

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the main objective of data mining in relationship marketing?

To improve customer retention and increase customer loyalty

To describe the characteristics of a group of customers

To detect fraud and identify outliers

To design and promote web sites

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is customer profiling in data mining?

A process of identifying valuable customers based on their needs and values

A way to assess and view individuals in the market based on their status and need

An application of data mining in website design and promotion

A technique for detecting fraud and identifying outliers

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the main application of data mining in outlier identification and fraud detection?

To detect unusual expense claims by staff and anomalies in expenditure during auditing

To improve customer retention and increase customer loyalty

To design and promote web sites

To describe the characteristics of a group of customers

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