Data Mining

Datamining or Data mining is a technic which denotes the search for patterns and structures in large amounts of data. The concept has become topical after the size of the databases increasingly restrictive options for complete statistical analysis. This is for example applicable in the fields of mathematics, biology and finance. Through such algorithms or direct observation try to find relationships between data points in order to better visualize and eventually utilize the complex information and are ofte used in complex business intelligence systems (BI).

Data mining is the principle of finding relevant information through the sorting of large data volumes. Data mining is commonly used by large enterprises business intelligence organizations, financial analysts, or advanced decision support systems, but is also used in the sciences to extract accurate information from the enormous data sets generated using modern experimental and observational oriented methods. D.M. has been described as “non-trivial extraction of implicit, previously unknown and potentially useful information from data and” the science of extracting useful information from large data sets or large databases.

Where to traditional statistical method seeks to connect from single observations to statements about the entire population, used data mining to through the juxtaposition of characteristics of the individual or the individual object.
Most datamining systems are based on a special database called a data warehouse which uses sentinels to register any changes in the data based on your filters and settings.

Data mining and eavesdropping Data mining winning increasingly asserting itself as a means to wring new knowledge rather than on individuals, as data on individuals collected through the monitoring of telephony, data streams, web traffic, mail, video surveillance, payment transactions and the like. This method is used partly for clarification of person-oriented marketing, partly for political intelligence and similar areas.