This chapter presents a method that condenses large data sets so that they can be represented by only a few bits. This extreme compression comes with a loss of information, however the condensed data can, for example, be used in order to check whether two large data sets are identical by exchanging only a few bits of information - just like fingerprints are used to distinguish and identify humans. In the example in this chapter the data set is a long piece of text. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Dietzfelbinger, M. (2011). Fingerprinting. In Algorithms Unplugged (pp. 181–193). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-15328-0_19
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