There is a large variety of data mining systems available. Data mining systems may integrate techniques from the following −
- Spatial Data Analysis
- Information Retrieval
- Pattern Recognition
- Image Analysis
- Signal Processing
- Computer Graphics
- Web Technology
Data Mining System Classification
A data mining system can be classified according to the following criteria −
- Database Technology
- Machine Learning
- Information Science
- Other Disciplines
Apart from these, a data mining system can also be classified based on the kind of (a) databases mined, (b) knowledge mined, (c) techniques utilized, and (d) applications adapted.
Classification Based on the Databases Mined
We can classify a data mining system according to the kind of databases mined. Database system can be classified according to different criteria such as data models, types of data, etc. And the data mining system can be classified accordingly.
For example, if we classify a database according to the data model, then we may have a relational, transactional, object-relational, or data warehouse mining system.
Classification Based on the kind of Knowledge Mined
We can classify a data mining system according to the kind of knowledge mined. It means the data mining system is classified on the basis of functionalities such as −
- Association and Correlation Analysis
- Outlier Analysis
- Evolution Analysis
Classification Based on the Techiques Utilized
We can classify a data mining system according to the kind of techniques used. We can describe these techniques according to the degree of user interaction involved or the methods of analysis employed.
Classification Based on the Applications Adapted
We can classify a data mining system according to the applications adapted. These applications are as follows −
- Stock Markets
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