PERFORMANCE ANALYSIS OF DATA MINING ALGORITHMS WITH NEURAL NETWORK

Data mining has evolved into an active and important area of research because of previously unknown and interesting knowledge from very large real-world database. Data mining methods have been successfully applied in a wide range of unsupervised and supervised learning applications. Classification is one of the data mining problems receiving great attention recently in the database community. Neural networks have not been thought suited for data mining because how the classifications were made is not explicitly stated as symbolic rules that are suitable for verification or interpretation by humans. The neural network is fir st trained to achieve the required accuracy in data mining. A network pruning algorithm is used to remove redundant connections of the network.