Mining sequential patterns from multidimensional sequence data Chung-Ching Yu and Yen-Liang Chen   View Paper (PDF)   Return to January 2005, Volume 17, Issue 1 Abstract 2. Without such a capability, many practical data would be impossible to mine. For example, an online stock-trading site may have a customer database, where each customer may visit a Web site in a series of days; each day takes a series of sessions and each session visits a series of Web pages. Then, the data for each customer forms a 3-dimensional list, where the first dimension is days, the second is sessions, and the third is visited pages. To mine sequential patterns from this kind of sequence data, two efficient algorithms have been developed in This work. ©2006 Association for Computing Machinery