Data mining is the computer based process of analyzing enormous sets of data and then extracting the meaning of the data. Data
mining tools predict future trends, allowing business to make proactive, knowledge-driven decisions. Data mining tools can answer business
questions that traditionally taken much time consuming to resolve. The huge amounts of data generated for prediction of heart disease are too
complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to
transform these mounds of data into useful information for decision making. By using data mining techniques it takes less time for the prediction
of the disease with more accuracy. In this paper we survey different papers in which one or more algorithms of data mining used for the
prediction of heart disease. Result from using neural networks is nearly 100% in one paper [10] and in [6]. So that the prediction by using data
mining algorithm given efficient results. Applying data mining techniques to heart disease treatment data can provide as reliable performance as
that achieved in diagnosing heart disease.