The architecture of data mining is a complex system, but it is essential for understanding how data mining works. By understanding the different components of the architecture, you can better understand how to use data mining to solve problems.
- Data source: The data source is where the data for data mining is stored. This can be a database, a file, or even the internet.
- Data warehouse server: The data warehouse server is responsible for storing and managing the data. It also provides access to the data for data mining.
- Data mining engine: The data mining engine is the software that actually performs the data mining. It uses algorithms to find patterns in the data.
- Pattern evaluation module: The pattern evaluation module is responsible for evaluating the patterns found by the data mining engine. It determines whether the patterns are significant and useful.
- Graphical user interface: The graphical user interface (GUI) allows users to interact with the data mining system. It provides a way to input data, select data mining algorithms, and view the results of data mining.
- Knowledge base: The knowledge base is a repository of information that can be used to improve the data mining process. It can include information about the data, the data mining algorithms, and the results of previous data mining projects.
