What is the purpose of data mining?
Why A is the answer
Finding patterns in large datasets
Data mining extracts patterns and insights from large datasets.
In detail
- Data mining finds patterns in large datasets.
- Patterns need checking before use.
Use case
An illustrative scenario, not a real incident.
A retailer mines years of receipts, and finds products that sell together.
See it in different ways
mindmap
root((Data analysis))
Metrics
Loss
R-squared
Charts
Line: over time
Scatter: two variables
Care
Same data
Confounding factorsflowchart LR S0["Large dataset"] --> S1["Find patterns"] --> S2["Check them"] --> S3["Act"]
Key point: Data mining finds patterns.
Why the other options are wrong
- B. Encrypting large datasets for long-term storage
- That is security.
- C. Moving large datasets between two data centers
- That is data transfer.
- D. Deleting duplicate files from shared storage
- That is storage cleanup.