Contemporary techniques of data mining using Meta-heuristic algorithms

Data mining is the process of knowledge discovery. It associates research in many fields such as databases, statistics, artificial intelligence and machine learning. Data mining can be carried out in two ways - Supervised learning and unsupervised learning. Supervised learning uses the known cases of well-defined patterns to get new patterns having feature of high interest and on the other hand in unsupervised learning no hypothesis is made on the relations among data sets to find out the pattern. The most important classification technique is clustering, in which a set of patterns are grouped into clusters based on some similarities