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Ssort: Peak Analysis for Efficient String Sorting

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Proceedings of the European Computing Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 28))

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Abstract

With the growth of the Internet, processing large amounts of textual data has become a common requirement in practical applications. This paper presents an efficient algorithm, Ssort that is specialized for sorting large numbers of strings. It is an improvement over Quicksort and its variants such as Meansort. It has an excellent average case behavior. Moreover, its worst case is highly unlikely to occur in practice.

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References

  1. Motzkin D (1983) Meansort. Commun ACM 26(4):250–251

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  2. Hoare CAR (1961) Quicksort (Algorithm 64). Commun ACM, 4(7):321–322

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  3. Morato J et al (2004) WordNet applications. In: GWC 2004, pp 270–278

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  4. Fellbaum C (1999) WordNet: an electronic lexical database. MIT Press, Cambridge

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  5. http://wordnet.princeton.edu

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Correspondence to Sunil Mallya .

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© 2009 Springer Science+Business Media, LLC

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Mallya, S., Mahesh, K. (2009). Ssort: Peak Analysis for Efficient String Sorting. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 28. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-85437-3_37

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  • DOI: https://doi.org/10.1007/978-0-387-85437-3_37

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84818-1

  • Online ISBN: 978-0-387-85437-3

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