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International Conference on High-Performance Computing and Networking

HPCN-Europe 2000: High Performance Computing and Networking pp 477–486Cite as

Extracting Business Benefit from Operational Data

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1823))

Abstract

EPCC is a technology transfer centre within the University of Edinburgh in the United Kingdom. It has assisted a number of or- ganisations to extract extra business benefit from operational data. This paper outlines some of these data intensive, knowledge discovery projects undertaken by EPCC. It highlights issues common to these projects despite their diversity in solution methods, computational requirements and application area.

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References

  1. Quadstone: http://www.quadstone.com/

  2. Ellwood, P., Group Chief Executive Lloyds TSB: Delivering Value to Shareholders. Lloyds TSB Analysts Presentation (1999)

    Google Scholar 

  3. RuleQuest Research: http://www.rulequest.com/

  4. SAS Institute: http://www.sas.com/

  5. Sloan, T.M., Hall, H.J., Hopcraft, R.: Exploiting Soft Computation in SMEs. Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing. ELITE-European Laboratory for Intelligent Techniques Engineering (1998)

    Google Scholar 

  6. Orchard, R.A.: FuzzyCLIPS Version 6.04 User’s Guide. Knowledge Systems Laboratory, Institute for Information Technology, National Research Council Canada (1995)

    Google Scholar 

  7. Smyllie, K..: Data Mining and Simulation Applied to a Staff Scheduling Problem. High-Performance Computing and Networking (Eds. Sloot, Bubak, Hoekstra, Hertzberger). Lecture Notes in Computer Science Vol. 1953. Springer (1999).

    Google Scholar 

  8. Bigus, J.P.: Data mining with neural networks. McGraw-Hill(1996)

    Google Scholar 

  9. Fayyad, U., Piatesky-Shapiro, G., Smyth, P.: The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communications of the ACM Volume 39(11) (1996)

    Google Scholar 

  10. Quinlan, J.R.: Discovering rules by induction from large collections of examples. Expert Systems in the micro-electronic age (Ed. D. Michie). Edinburgh University Press (1979).

    Google Scholar 

  11. Quinlan, J.R.: Improved use of continuous attributes in c4.5. Journal of Artificial Intelligence Vol 4 (1996).

    Google Scholar 

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Author information

Authors and Affiliations

  1. EPCC, The University of Edinburgh, EH9 3JZ, UK

    Terence M. Sloan, Paul J. Graham & Kira Smyllie

  2. Management School, The University of Edinburgh, EH8 9JY

    Ashley D. Lloyd

Authors
  1. Terence M. Sloan
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  2. Paul J. Graham
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  3. Kira Smyllie
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  4. Ashley D. Lloyd
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Academic Computer Center CYFRONET, University of Mining and Metallurgy (AGH), al. Mickiewicza 30, 30-059, Cracow, Poland

    Marian Bubak

  2. Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Universiteit van Amsterdam, 1098 SJ, Amsterdam, The Netherlands

    Hamideh Afsarmanesh  & Bob Hertzberger  & 

  3. California Institute of Technology, Caltech 158-79, Pasadena, CA, 91125, USA

    Roy Williams

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© 2000 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sloan, T.M., Graham, P.J., Smyllie, K., Lloyd, A.D. (2000). Extracting Business Benefit from Operational Data. In: Bubak, M., Afsarmanesh, H., Hertzberger, B., Williams, R. (eds) High Performance Computing and Networking. HPCN-Europe 2000. Lecture Notes in Computer Science, vol 1823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45492-6_48

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  • DOI: https://doi.org/10.1007/3-540-45492-6_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67553-2

  • Online ISBN: 978-3-540-45492-2

  • eBook Packages: Springer Book Archive

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