Abstract
We describe the architecture of a high-performance data mining server. The server is based on a Mining Kernel System — MKS. We describe a parallel rule-generator which is part of this kernel.
Similar content being viewed by others
References
Agrawal R., T. Imielinski, B. Iyer and A. Swami. ”Mining Association Rules between Sets of Items in Large Databases”. In Proceedings of ACM SIGMOD International Conference on Management of Data. 1993.
Anand, S.S., D.A.Bell and J.G. Hughes. “The Role of Domain Knowledge in Data Mining” Fourth International ACM Conference on Information and Knowledge Management. 1995.
Anand, S.S., B.W. Scotney, M.G.Tan, S.I.McClean, D.A.Bell J.G.Hughes, I.C. Magill. “Designing a Kernel for Data Mining”. Working Paper. University of Ulster.
Anand, S.S., D.A.Bell, J.G. Hughes and C.M.Shapcott. ”Evidential Techniques in Parallel Database Mining”. In “High-Performance Computing and Networking”. Conference Proceedings. Milan, Italy. Lecture Notes in Computer Science. No. 919. Springer. Berlin. 1995
Anand S. S., C.M.Shapcott, D.A.Bell and J.G.Hughes. ”Data Mining in Parallel”, in ”Transputer and occam Developments; WoTUG-18” (Editor: P.Nixon). IOS Press. 1995
Frawley, W.J., G. Piatesky-Shapiro and C.J. Matheus. ”Knowledge Discovery in atabases: An Overview” In ”Knowledge Discovery in Databases”. AAAI-93. 1993.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Anand, S.S., Bell, D.A., Hughes, J.G., Shapcott, C.M. (1996). A high-performance data mining server. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_644
Download citation
DOI: https://doi.org/10.1007/3-540-61142-8_644
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61142-4
Online ISBN: 978-3-540-49955-8
eBook Packages: Springer Book Archive