Focus on deciding whether the results of two different data mining algorithms provides significantly different information. Therefore, answer the following questions:
- When using different data algorithms, why is it fundamentally important to understand why they are being used?
- If there are significant differences in the data output, how can this happen and why is it important to note the differences?
- Who should determine which algorithm is â€œrightâ€ and the one to keep? Why?
Minimum of 3 peer reviewed references (no typical websites)
No plagiarism/spinbot/synonymical words please
In-text citations to each question is mandatory
Minimum of 500 words