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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Koegler, W. S., & Kegelmeyer, W. P. (2005). FCLib: A library for building data analysis and data discovery tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3646 LNCS, pp. 192–203). Springer Verlag. https://doi.org/10.1007/11552253_18
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