Mining system based on a hybrid approach of techniques

The Web Mining arises like an appropriate tool to exploit the derived knowledge of the web-user interaction, describing models that use patterns and characterize the profiles of the different groups of users which use Internet. To achieve this, currently there are numerous techniques. Some of these techniques are integrated in this work to build a Hybrid System of Web Mining that allows to extract useful information of the web users. In this way, we try to exploit the capabilities of each one. Specifically, three techniques of the area of Web Mining were used: Sequential Patterns, Path Analysis and Cubes. The System obtains a group of access patterns from the users to a website, to arrange them in a multidimensional structure, called Cube. Using that, the system can discover correlations between the web pages and users' groups, behaviors of the web users, among other things.