Downloads

[1] http://dtp.nci.nih.gov/docs/aids/aids data.html. [2] R. Agrawal, T. Imielienski, and A. Swami. Mining association rules between sets of items in large databases Proc. of Conf. on Management of Data. pages 207–216. [3] R. Agrawal and J. Shafer. Parallel mining of association rules. IEEE Trans. Knowledge and Data Eng., 8(6):962969, Dec. 1996. [4] C. Borgelt and M. R. Berthold. Mining molecular fragments: Finding relevant substructures of molecules. IEEE International Conference on Data Mining (ICDM 2002, Maebashi, Japan). pages 51–58, December 09-12, 2002. [5] B. Carpenter, G. Fox, S.-H. Ko, and S. Lim. mpijava 1.2: Api specification. [6] S. Chakrabarti, A. Ranade, and K. Yelick. Randomized loadbalancing for tree-structured computation, In Scalable High Performance Computing Conference, Knoxville, TN. 1994. [7] Y. Chung, J.-W. Park, and S.-H. Yoon. An asynchronous algorithm for balancing unpredictable workload on distributed-memory machines. ETRI Journal, 20(4):346– 360, Dec. 1998. [8] M. Desphande, M. Kuramochi, and G. Karypis. Automated approaches for classifying structures Proc. of Workshop on Data Mining in Bioinformatics (BioKDD). pages 11–18, 2002. [9] I. Foster, C. Kesselman, and S. Tuecke. The anatomy of the grid: Enabling scalable virtual organizations. International J. Supercomputer Applications. [10] Globus Project Team. The Globus Project, http://www.globus.org. [11] A. Grimshaw andW.Wulf. The legion vision of a worldwide virtual computer. In Communications of the ACM, 40(1), January 1997. [12] E.-H. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. IEEE Transactions on Knowledge and Data Engineering, 12(3):337–352, May/June 2000. [13] I. Foster and C. Kesselman and J. Nick and S. Tuecke. The physiology of the grid: An open grid services architecture for distributed systems integration Open Grid Service Infrastructure WG, Global Grid Forum. June 22, 2002. [14] R. Karp and Y. Zhang. A randomized parallel branch-and-bound procedure, In Proceedings of the 20 Annual ACM Symp. on Theory of Computing. 1988. [15] S. Kramer, L. de Raedt, and C. Helma. Molecular feature mining in hiv data Proc. of 7th Int. Conf. on Knowledge Discovery and Data Mining, (KDD-2001, San Francisco, CA). pages 136–143, 2001. [16] T. Washio and H. Motoda. State of the art of graphbased data mining. ACM SIGKDD Explorations Newsletter, 5(1):59–68, July 2003. [17] O. Weislow, R. Kiser, D. Fine, J. Bader, R. Shoemaker, and M. Boyd. New soluble formazan assay for hiv-1 cytopathic effects: Application to high flux screening of synthetic and natural products for aids antiviral activity. Journal of the National Cancer Institute, University Press, Oxford, United Kingdom. [18] X. Yan and J. Han. gspan: Graph-based substructure pattern mining Proceedings of the IEEE International Conference on Data Mining ICDM, Maebashi City, Japan. 2002. [19] M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. New algorithms for fast discovery of association rules Proc. of 3rd Int. Conf. on Knowledge Discovery and Data Mining (KDD’97). pages 283–296, 1997. [20] M. J. Zaki. Parallel and distributed association mining: A survey. IEEE Concurrency, 7(4):14–25, 1999.