1. Han, J., Cheng, H., Xin, D., Yan, X.: Frequent Pattern Mining - Current Status and Future Directions. Data Mining and Knowledge Discovery 15(1), 55–86 (2007)
2. Uno, T., Kiyomi, M., Arimura, H.: LCM ver. 2: Efficient Mining Algorithm for Frequent/Closed/Maximal Itemsets. In: Proc. of IEEE ICDM 2004 Workshop - FIMI 2004 (2004),
http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS//Vol-126/
3. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. of the 20th Int’l Conf. on Very Large Databases, VLDB 1994, pp. 487–499 (1994)
4. Wang, J., Han, J., Pei, J.: CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets. In: Proc. of the 9th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining, KDD 2003, pp. 236–245 (2003)
5. Gan, G., Ma, C., Wu, J.:Data Clustering – Theory, Algorithms, and Applications. SIAM (2007)