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FCLib: A Library for Building Data Analysis and Data Discovery Tools

  • Conference paper
Advances in Intelligent Data Analysis VI (IDA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3646))

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Abstract

In this paper we describe a data analysis toolkit constructed to meet the needs of data discovery in large scale spatio-temporal data. The toolkit is a C library of building blocks that can be assembled into data analyses. Our goals were to build a toolkit which is easy to use, is applicable to a wide variety of science domains, supports feature-based analysis, and minimizes low-level processing. The discussion centers on the design of a data model and interface that best supports these goals and we present three usage examples.

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References

  1. Koegler, W.S., Kegelmeyer, W.P.: One Users’s Report on Sandia Data Objects: Evaluation of the DOL and PMO for Use in Feature Characterization. SAND2003-8591, Sandia National Laboratories (2003)

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Author information

Authors and Affiliations

  1. Sandia National Laboratories, P.O. Box 969, Livermore, CA, 94551, USA

    Wendy S. Koegler & W. Philip Kegelmeyer

Authors
  1. Wendy S. Koegler
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  2. W. Philip Kegelmeyer
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Editor information

Editors and Affiliations

  1. Institute for Information Technology, National Research Council Canada, Ottawa, Canada

    A. Fazel Famili

  2. LIACS, Leiden University, The Netherlands

    Joost N. Kok

  3. IFM, Linköping University, SE-58183, Linköping, Sweden

    José M. Peña

  4. Department of Computer Science, Universiteit Utrecht,  

    Arno Siebes

  5. Utrecht University, TB Utrecht,, P.O. box 80 089, NL-3508, the Netherlands

    Ad Feelders

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© 2005 Springer-Verlag Berlin Heidelberg

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Koegler, W.S., Kegelmeyer, W.P. (2005). FCLib: A Library for Building Data Analysis and Data Discovery Tools. In: Famili, A.F., Kok, J.N., Peña, J.M., Siebes, A., Feelders, A. (eds) Advances in Intelligent Data Analysis VI. IDA 2005. Lecture Notes in Computer Science, vol 3646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552253_18

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  • DOI: https://doi.org/10.1007/11552253_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28795-7

  • Online ISBN: 978-3-540-31926-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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