Usage Mining from WWW
Web Usage Mining applies data mining techniques to the usage of Web resources, as recorded in Web server logs or other logs of requested URLs(plus, possibly, further parameters).
Data mining was initially raised from mining unknown regular information from customers' goods baskets in market. Many traditional and classical mining methods were raised for these goal, such as association rules, sequential patterns, classifier and clustering methods.
Data mining can help people to know what is hidden behind the huge data resource. On this meaning, it helps to reduce the information capacity and the complexity. Data mining is an unsupervised machine learning method, which has no and a little help from background knowledge.
On the other hand, with the variety and plenty of information, data mining technology opens is application, but at the same time, many new difficulties come out. WWW is a new data resource for data mining, which is a totally different data format embodied in the data meaning, data organization, data structure and data storage. So new mining methods are needed.