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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© 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
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