  Data Mining is the process of examining the information from different point
of view and compressing it for the relevant data. This data can also be
utilized to build the incomes. Data Mining is also known as Data or Knowledge
Discovery. The basic purpose of data mining is to search patterns which have
minimal user inputs and efforts. Data Mining plays a very crucial role in the
various fields. There are various data mining procedures which can be connected
in different fields of innovation. By using data mining techniques, it is
observed that less time is taken for the prediction of any disease with more
accuracy. In this paper we would review various data mining techniques which
are categorized under classification, regression and clustering and apply these
algorithms over an ECG dataset. The purpose of this work is to determine the
most suitable data mining technique and use it to improve the accuracy of
analyzing ECG data for better decision making.
