The Research And Application Of Web Information Mining Based On Artificial Neural Network

With the rapid development of the computer technology, the amount of data growth rapidly.Face to the vast resources in the network, people can no longer get accurate, useful and personal information easily. To solve this problem, Web Mining technology came into being.Web Mining is a new technology developed in recent years, it involving data mining, network technology, information science and other fields.Web mining can find effective resource and knowledge from a large, heterogeneous, distribute, semi-structure or non-structure web document collection. Artificial neural network is proposed on the base of the results of modern neuroscience research, it can model nonlinear data quickly, and it can simulate the human brain to deal with that incomplete or ambiguous information. Because of these reasons, Artificial neural network is especially suitable to solve those problem with vague, incomplete or lack of a clear data and knowledge. Currently, artificial neural network technology has achieved rapid development and application in the computer industry.This thesis introduce the concepts, principles, current research, trends and applications of data mining, web information mining and artificial neural network are instructed in this thesis; realize the data processing for web text mining is realized; achieve the classification function of text mining in achieved.Today's map service has many inadequate, such as:updates slow, high cost and do not have the personalized service. To solve these problems, this thesis proposes that make the web information mining applied in map service and design "Map Service Web Mining System". System use network resources as the data support, achieve the text collection, extract feature, data mining and store, add data to network map. The target of this system is to update data of map automatically and provide personalized service to users.