Comparative Study of Algorithms used for Data Mining: A Review

Data mining actually refers to extraction of data in some regular patterns as desirable by the users. This deals with the discovery of patterns of knowledge from the databases. There are various algorithms which deal with the mining processes of the data i.e. each of the algorithms performs certain steps to preprocess the data from a data repository, convert it into useful information and finally transform it into an understandable format for the further use. The data mining process deals with full or partial automatic analysis of data by cluster analysis, anomaly detection and following association rules. The heuristic technique which make calculations and based on them form a model from given pattern of data is a data mining algorithm. This paper discusses about various algorithms along with the pitfalls that the algorithms suffer.