Data Mining Techniques and Applications

Data mining is the process to find useful patterns from very large amount of data. In this paper we are discussing few of the data mining techniques, methods and algorithms and some of the organizations which have adapted data mining techniques and methods to improve their businesses and are highly successful in doing so. Data mining DM is also known as Knowledge Discovery in Database aka (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period 2007-2017, this paper conducts a formal review of the concept of data-mining, the standard tasks involve in data-mining, its applications and techniques in day to day fields.