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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 1998: Research and Development in Knowledge Discovery and Data Mining pp 401–402Cite as

Data-mining massive time series astronomical data sets — A case study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1394))

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References

  1. T. S. Axelrod et al, “Statistical Issues in the Macho Project.” Mt Stromlo and Siding Spring Observatories, The Australian National University, 1996.

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  2. U. M. Fayyad, S. G. Djorgovski and N. Weir, “Automating the Analysis and Cataloguing of Sky Surveys.” in Advances in Knowledge Discovery and Data Mining, (eds) U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy, AAAI Press / The MIT Press, 1996, pp. 471–493.

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Author information

Authors and Affiliations

  1. Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong

    Michael K. Ng

  2. CRC for Advanced Computational Systems, Computer Sciences Laboratory, The Australian National University, 0200, Canberra, ACT, Australia

    Zhexue Huang

  3. CRC for Advanced Computational Systems, CSIRO Mathematical and Information Sciences, GPO Box 664, 2601, Canberra, ACT, Australia

    Markus Hegland

Authors
  1. Michael K. Ng
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  2. Zhexue Huang
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  3. Markus Hegland
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, Monash university, 900 Dandenong Road, Caulfield East, Victoria, 3145, Australia

    Xindong Wu

  2. Department of Computer Science, The University of Melbourne, Parkville, Victoria, 3052, Australia

    Ramamohanarao Kotagiri

  3. School of Computer Science and Engineering, Monash university, Clayton, Victoria, 3168, Australia

    Kevin B. Korb

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© 1998 Springer-Verlag Berlin Heidelberg

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Ng, M.K., Huang, Z., Hegland, M. (1998). Data-mining massive time series astronomical data sets — A case study. In: Wu, X., Kotagiri, R., Korb, K.B. (eds) Research and Development in Knowledge Discovery and Data Mining. PAKDD 1998. Lecture Notes in Computer Science, vol 1394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64383-4_43

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  • DOI: https://doi.org/10.1007/3-540-64383-4_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64383-8

  • Online ISBN: 978-3-540-69768-8

  • eBook Packages: Springer Book Archive

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