ABSTRACT
Big Data concern with large amount of data which is complex and continuously increasing. We can relate such Big Data with Stock Market Prediction System. It becomes the challenging task for time series prediction of financial market. It will predict the future for stock prices, whether increase or decrease. There are numbers of machine learning techniques applied to predict the stock market such as Genetic Algorithm (GA), Support Vector Machines (SVM) and Artificial Neural Network (ANN). We can get more accurate prediction value with the help of artificial neural network. We have used multilayer perceptron neural network. Artificial Neural Network can recollect information of any number of years and it can foresee the element in view of the past information. If we co-relate data mining with neural network then we can get lots of achievements. Utilizing these facilities for big data is not yet deployed. So we are just trying to utilize them and come up with the solution which is suitable for Stock Market Analysis.
