Prediction in any field is a complicated, challenging and daunting process. Employing traditional methods may not ensure the reliability of the prediction. In this paper, we are reviewing the possibility of applying two well-known techniques neural network and data mining in stock market prediction. As neural network is able to extract useful information from a huge data set and data mining is also able to predict future trends and behaviors. Therefore, a combination of both these techniques could make the prediction much reliable.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.