[13] Zaki, M.J.: SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning Journal 42(1-2), 31–60 (2001) 
[14] Hirate, Y., Yamana, H.: Generalized Sequential Pattern Mining with Item Intervals. Journal of Computers 1(3), 51–60 (2006) 
[15] MacQueen, J.B.: Some Methods for Classification and Analysis of Multivariate Observations. In: Proc. 5th Berkeley Symposium on Mathematic Statistics and Probability, pp. 

281–297 (1967) 
[16] Wang, J., Han, J., Li, C.: Frequent Closed Sequence Mining without Candidate Maintenance. IEEE Transactions on Knowledge and Data Engineering 19(8), 1042–1056 (2007) 
[17] Pinto, H., et al.: Multi-Dimensional Sequential Pattern Mining. In: Proc. Int. Conf. Information and Knowledge Management (CIKM 2001), pp. 81–88 (2001) 
[18] Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Bocca, J.B., 
Jarke, M., Zaniolo, C. (eds.) Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp. 487–499. Morgan Kaufmann, San Francisco (1994) 
[19] Pasquier, N., Bastide, Y., Taouil, R., Lakhal, L.: Closed set based discovery of small covers for association rules. In: Proc. 15emes Journees Bases de Donnees Avancees, pp. 

361–381 (1999) 
[20] Songram, P., Boonjing, V., Intakosum, S.: Closed Multidimensional Sequential Pattern Mining. In: Proc. 3rd Int. Conf. Information Technology: New Generations, pp. 512–517 (2006) 