The laborious way from data mining to web log mining
The web is a large source of information that can be turned into knowledge. Part of this knowledge concerns the usage of the web itself and is invaluable to the organization of web sites that meet their purposes and prevent disorientation. Data mining can be used to throw light in various aspects of web utilization. For one major aspect, the discovery of navigation patterns, we show that a new mining model is necessary. We first formalize the notion of navigation pattern as a generalized sequence. We then present our mining algorithm for generalized sequence discovery. which we developed in our Web Usage Miner project WUM. Conventional miners cannot discover the patterns extracted by our miner, but we show how they can be used as preprocessors to reduce the search space.
data mining web log mining navigation patterns generalized sequences web usage analysis knowledge discovery