Decision support systems have progressed to data mining.
Data mining, which is knowledge discovery, is data-driven, whereas other analysis techniques such as OLAP are user-driven.
The knowledge discovery process in data mining uncovers relationships and patterns not readily known to exist.
Six distinct steps comprise the knowledge discovery process.
In information retrieval and discovery, OLAP and data mining can be considered to be complementary as well as different.
The data warehouse is the best source of data for a data mining operation.
Major common data mining techniques are cluster detection, decision trees, memory-based reasoning, link analysis, neural networks, and genetic algorithms.