Question

question 23 (2 points) ✔ saved listen ______ is a process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. 1) data warehouse 2) data mining 3) data manipulation 4) data constraints

Explanation:

To solve this, we analyze each option:

• Data Warehouse: A repository for integrated data, not for pattern discovery.
• Data Mining: Defined as discovering patterns in large datasets using ML, stats, and DB systems.
• Data Manipulation: Involves altering data, not pattern discovery.
• Data Constraints: Rules for data integrity, not pattern discovery.

So the correct option is 2) Data Mining.

Answer:

1. Data Mining