Analysis And Research Of Crop Business Platform Based On The Web Data Mining

Web mining means finding useful knowledge from web documents and activities through data mining technology, we can get customer's searching mode and favorities by the mining of log data and transaction data which existing on web server .According to the mining result, we can enhance the understanding of customers' group behaviors, improve our service dynamically, so, provide custom service for customers.Relationships between Internet and sale of agri-product has become more and more closer, the development of crop e-commerce and relevant platform are very important for the building of complicated information system of agricultural ,the development of our country's agricultural, the increasing of farmer's income and coordination between city and country. There are some problems existed in agri-product business sites, such as simple transaction mode, general product promotion, simple paying ways and the lower degree of intelligence, etc .But personal demand of agri-corps is very high, so there is a contradiction between agri-corps business platform and the personal demand. This paper discusses how to use path analysis, relevant rule analysis, sequence mode analysis, classifing analysis and aggregation analysis in e-commerce, so that we can mine purchasing and browsing mode of customer.This paper constructs a web data-mining system prototype based on crop business platform, and integrates several data-mining technologies in this prototype. We introduces web log mining in this platform ,it is beneficial not only for the personal service in meeting different agri-product demands, but also for the supplier of agri-product to understand information related with customer, by this way, market demand is well satisfied.