Data Mining

Data Mining is a complex subject that describes a type of database application used to search large amounts of data for patterns using specific tools. Advanced statistical methods and tools such as classification, association rule mining and cluster analysis search large volumes of data for previously unknown relationships within the data. Data Mining can be used to decipher trends in a wide variety of fields such as computer science, the marketing and advertising of goods, services or products, artificial intelligence research, biological sciences and high-level government intelligence.

The United States Federal Bureau of Investigation uses Data Mining for security and intelligence screening in order to identify potentially illegal or incriminating electronic information that is distributed on the Internet. The formulas used in Data Mining are known as algorithms. Regression analysis (a mathematical method of studying numerical or variable data) and classification analysis (the analysis of qualitative data such as colors, names and opinions, also known as the descriptive model) are important concepts covered in the Data Mining articles under Data Mining Tutorials section in this section.

Opportunities for building a career in Data Mining exist in several areas such as advertising technology, fraud detection, web mining, probabilistic trading, risk management, business intelligence and statistical technology. Data Mining Analysts, Data Mining Researchers, Data Mining Scientists and other Data Mining professionals can expect to earn high wages for highly skilled and specialized Data Mining experience.