Web Log Mining Based on a Novel Competitive Neural Network

A novel neural classification algorithm named self inspiring network based on competition（SIN） is proposed in this paper It combines the advantages of adaptive resonance theory and the competitive neural networks Overcoming the sensibility to the noise which ART exists, it can either hold the former memory, or can memorize the new information Hebb learning rule is used in the implicit layer resulting in fast learning speed, good capability in classification and learning on line Web log mining used in this algorithm can omit the noise and get good result of the clusters in users and pages It also provides the effective decision making for the webmaster to devise the personalized web site