A Brief Analysis of Data Mining Techniques

Today, we live in the age of information. And we all know, where there is information, there is data. And currently, the amount of information present is humongous. Worse, every day the amount of information present is increasing. As a direct consequence of that, there is an enormous amount of data that is being generated on a day to day basis and the majority of that data is generally noise data (meaningless data). The data that is useful to us is quite less and is hidden in between all the useless data. Finding the useful data is like finding a pin in the haystack. This is where Data Mining and its techniques come to play. The data mining is the process of searching and then segmenting the data by discovering useful and interesting patterns as well as descriptive and predictive models from large scale data [1]. The objective of this paper is to review, analyze and then have the application of the different techniques which are used in Data mining and the discovery of knowledge in databases.