1. Aggarwal, C.C., Lin, Y., Wang, J., Wang, J.: Frequent Pattern Mining with Uncertain Data. In: Proc. 15th ACM SIGMOD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2009), Paris, France, pp. 29–38. ACM Press, New York (2009)
2. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proc. 20th Int. Conf. on Very Large Databases (VLDB 1994), Santiago de Chile, pp. 487–499. Morgan Kaufmann, San Mateo (1994)
3. Besson, J., Robardet, C., Boulicaut, J.-F.: Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. In: Proc. Int. Conference on Computational Science (ICCS 2006), Reading, United Kingdom, pp. 144–157. Springer, Berlin (2006)
4. Berger, D., Borgelt, C., Diesmann, M., Gerstein, G., Grün, S.: An Accretion based Data Mining Algorithm for Identification of Sets of Correlated Neurons. In: 18th Ann. Computational Neuroscience Meeting (CNS*2009), Berlin, Germany (2009)
5. Borgelt, C., Wang, X.: SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. In: Proc. 13th Int. Fuzzy Systems Association World Congress and 6th Conf. of the European Society for Fuzzy Logic and Technology (IFSA/EUSFLAT 2009), Lisbon, Portugal, pp. 968–973. IFSA/EUSFLAT Organization Committee, Lisbon (2009)