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
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...
Review
Review
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