期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：7041-7044
出版社：TechScience Publications
摘要：“Data Rich and Information Poor” is the tagline on which the field Data Mining is based on. Data Mining mines the required Knowledge for the vast amount of data that is available form various sources in almost all the areas now a days. From this huge amount of data, required knowledge is to be extracted in the required format. Data Mining however deals with this problem very well. To enhance the capability of Data Mining, we can take help of Neural Networks which will give the accurate and efficient results in some cases. Neural network is a parallel processing network which generated with simulating the image intuitive thinking of human, on the basis of the research of biological neural network, according to the features of biological neurons and neural network and by simplifying, summarizing and refining. It uses the idea of non-linear mapping, the method of parallel processing and the structure of the neural network itself to express the associated knowledge of input and output. Initially, the application of the neural network in data mining was not optimistic, and the main reasons are that the neural network has the defects of complex structure, poor interpretability and long training time. But its advantages such as high affordability to the noise data and low error rate, the continuously advancing and optimization of various network training algorithms, especially the continuously advancing and improvement of various network pruning algorithms and rules extracting algorithm, make the application of the neural network in the data mining increasingly favored by the overwhelming majority of users.
