A session identification algorithm based on frame page and pagethreshold

Session identification is an important step in data processing of web log mining. To solve the defects in traditional session identification, an improved session identification algorithm was proposed. After identifying specific users, a great deal of frame pages were filtered, the relatively reasonable access time threshold for each page was made up according to contents of each page and all web structure and user´s session sets were identified by this threshold. Finally the algorithm was compared with the traditional methods of session identification by experiences, the higher rationality and effectiveness of it was proved.