Study on Web Users Classification Based on Mining Association Rules
Jin Yin-qiu · Journal of Zhongyuan University of Technology · 2009
Attempt to collect,preprocess Web log and compartmentalize transaction from the Web log to form a set of access transactions that have the conditions of mining association rules.Then,mine the set using improved matrix algorithm and get all frequent class association rules.And construct classifier using these association rules to classify Internet users.At the same time,improve the matrix algorithm.The experiment proves that the method is effective.