The Application of WEB-Based Data Mining on Electronic Information Commerce Statistics

摘要

The Web site of E-Commerce has millions of on-line transactions and visitation, which makes a lot of data about customers. But the beneficial information in these data has not been fully mined or used. The inherent complexity of Web has determined that traditional data mining model can not be used for Web mining; data mining has been successfully used in knowledge discovery of database; for increasing Web documents and Web activities, we need to study effective data-mining algorithm and design of mining system frame, and apply them on e-commerce sites' construction to meet clients' need better in data statistics. Based on the self-construction of Web mining system, this paper has carried research on Web log data mining; made deep research on how to mine Web log data and transactions; analyzed the e-commerce data mining, based on which, discussed a WEB data mining system applied on e-commerce statistics.