Data mining
Data mining is the process of finding patterns in information contained in large databases, a research area at the intersection of several disciplines, including statistics, databases, pattern recognition and AI, visualization, optimization, and high-performance and parallel computing.
Abstract
Data mining is the process of finding patterns in information contained in large databases. It is a research area at the intersection of several disciplines, including statistics, databases, pattern recognition and AI, visualization, optimization, and high-performance and parallel computing. With the success of database systems, and their widespread use, the role of the database expanded from being a reliable data store to being a decision support system (DSS). This has been manifested in the growth of data warehouses that consolidate transactional and distributed databases. Examples of applications of data mining techniques include: fraud detection in banking and telecommunications; marketing; science data analysis involving cataloging objects of interest in large data sets (e.g. sky objects in a survey, volcanoes on Venus, finding atmospheric events in remote sensing data); problem diagnosis in manufacturing, medicine, or networking; and so forth. The techniques are particularly relevant in settings where data is plentiful and the processes generating it are poorly understood.