|Data Mining - Born to Extract|
Should you look for new ideas or powerful strategies we have a suitable formula at the ready: data mining.
Data mining attempts to discover hypotheses about stored data in data warehouses using explorative methods. This means to recognize associations, classes and patterns using statistical, system-theoretical as well as visualization-based operations and methods. Data mining is also often referred to as Knowledge Discovery in Databases (KDD).
Through application of modern techniques in Data Mining avalaris' personnel can utilize existent but hidden information within the operational decision process.
Being an interdisciplinary research field data mining stands in close connection with statistics, artificial intelligence, data warehousing, OLAP (on-line analysis processing), expert systems, data visualization and optimization theory.
Oftentimes it is desirable to gain valuable information for strategic decisions out of a multitude of data which i.e. are gathered from a data warehouse. Using inference-statistical methods and multi-variant analysis methods as well as application of state-of-the-art statistical software (SPSS, SPLUS, R, SAS) even highly complex databases can be analyzed and the results documented.
The areas in which data mining methods can be applied are manifold: