Application of Data Mining Using Artificial Neural Network: Survey

Abstract

The use of neural network is very wide in data mining due to some characteristic like parallel performance, Self-organizing adaptive, robustness and fault tolerance. Data mining models depend on task they accomplish: Association Rules, Clustering, Prediction, and Classification. Neural network is used to find pattern in data. The grouping of neural network model and data mining method can greatly increase the efficiency of data mining methods and it has been broadly used. Different algorithms have been discussed for optimizing the artificial neural network (ANN). ANN combines with other algorithms to find out the high accurate data as compare to traditional algorithm. The role of ANN using data mining techniques is playing an important role in forecasting or prediction about games and weather. This produces high accurate predictions than that of traditional algorithm. Data mining approaches using ANN can also work well. ANN is a highly class algorithm which can be accelerated using neuron. The result of which will produce a high speed up ANN. ANN can also be used for the purpose of extracting rules from trained neural networks.