The Data Mining Process

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PnaqlX

Business Finance

Description

In order to conduct data mining projects, a process is followed. These processes are based on best practices, data mining researchers, and practitioners to maximize the chances of success for data mining projects.

Conduct some independent research on the Cross-Industry Standard Process for Data Mining (CRISP-DM). Using a process map, define the six steps of this process. Within the map, provide relevant examples for each step.

For more information on how to create a process map, visit this website: https://www.lucidchart.com/pages/process-mapping

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Explanation & Answer

Attached.

Running Head: THE DATA MINING PROCESS

The Data Mining Process
Name
Instructor
Course
Date

1

THE DATA MINING PROCESS

2

Cross-Industry Standard Process for Data Mining (CRISP-DM)
Start
Business Understanding
E.g. setting objectives
Data
Data Understanding e.g. data loading

Hypothesis
formulated?

Data Preparation
e.g. tabulation
Modeling e.g. neural network generation
with back propagation

Specific requirements met?

Evaluation e.g. assessment of data mining results

All business issues considered?

Deployment e.g. repeatable data mining process

End

THE DATA MIN...


Anonymous
Very useful material for studying!

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