Explain the multi-dimensional data model of a data warehouse. Also, define the concept of decision tree with the help of an example. List any four applications of data mining.

### Multi-Dimensional Data Model

The multi-dimensional data model is fundamental in data warehousing, designed to facilitate complex querying and analysis. This model represents data in a multi-dimensional space, making it easier to perform complex queries and generate reports. The primary components of this model include dimensions, facts, and measures.

1. Dimensions: These are perspectives or entities by which data can be analyzed, such as time, location, or product categories.
2. Facts: Facts are quantitative data that are analyzed, such as sales _____ ___ ____ _________ ________ ____.
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