Abstract
Suppose we have a database that describes a set of objects, and our aim is to find its representative subset of a smaller size. Representativeness here means the measure of quality of prediction when the subset is used instead of the whole set in a typical machine learning procedure. We research how to find a subset that is more representative than a random selection of the same size.
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Nouretdinov, I. (2007). Subsets More Representative Than Random Ones. In: Perner, P. (eds) Advances in Data Mining. Theoretical Aspects and Applications. ICDM 2007. Lecture Notes in Computer Science(), vol 4597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73435-2_2
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DOI: https://doi.org/10.1007/978-3-540-73435-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73434-5
Online ISBN: 978-3-540-73435-2
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