Data mining is also known as Knowledge Discovery from Data, or KDD for short, which turns a large collection of data into knowledge. Data mining is a multidisciplinary field including machine learning, artificial intelligence, pattern recognition, knowledge-based systems, high-performance computing, database technology, and data visualization.
- Data mining is the process of analyzing data from different perspectives and summarizing it into useful information.
- Data mining is the process of finding hidden information and patterns in a huge database.
- Data mining is the extraction of implicit, previously unknown, and potentially useful information from data.
Data, Information, and Knowledge
Data: Data are any recorded facts, numbers, or text that can be processed by a computer - scientific data, medical data, demographic data, financial data, and marking data.
Information: The patterns, associations, or relationships among all this data can provide information.
Knowledge: Information can be converted into knowledge about historical patterns and future trends.
What Kinds of Data can be Mined?
The most basic forms of data for mining are come from:
- Database Data
- Data Warehouses
- Transactional Data
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