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A Taxonomy of Support Vector Machine for Event Streams Classification

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Intelligent Interactive Multimedia Systems and Services 2016

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 55))

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Abstract

Radio Frequency Identification technologies have been widely used in various domain. They allowed experts to automatically record on-line data of everyday life at a rapid rate. Consequently, in order to extract knowledge, these data should be treated rigorously. Among these treatments, we cite the classification that is paramount. Generally, for this purpose several classification’ technologies exists. Particularly, Support Vector Machine has been applied to several domains to improve results efficiency. But, with the changes and the evolution of event streams and to support such changes, the SVM technique evolution is seen in many researches. The goal of this paper is to present an overview of different works related to SVM evolution, then we propose a comparative study between those works. As a result we obtain a taxonomy which shows in details support vector machine types and correlations between different types.

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Author information

Authors and Affiliations

  1. Bestmod, ISG Tunis, Université de Tunis, Tunis, Tunisia

    Hanen Bouali

  2. King Khalid University, Guraiger, Abha, Saudi Arabia

    Yasser Al Mashhour & Jalel Akaichi

Authors
  1. Hanen Bouali
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  2. Yasser Al Mashhour
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  3. Jalel Akaichi
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Corresponding author

Correspondence to Hanen Bouali .

Editor information

Editors and Affiliations

  1. Institute for High-Perfor Computing Netw, National Research Council of Italy, Naples, Italy

    Giuseppe De Pietro

  2. Institute for High-Perfo Computing Netwo, National Research Council of Italy, Naples, Italy

    Luigi Gallo

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, South Australia, Australia

    Lakhmi C. Jain

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© 2016 Springer International Publishing Switzerland

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Bouali, H., Al Mashhour, Y., Akaichi, J. (2016). A Taxonomy of Support Vector Machine for Event Streams Classification. In: Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2016. Smart Innovation, Systems and Technologies, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-39345-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-39345-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39344-5

  • Online ISBN: 978-3-319-39345-2

  • eBook Packages: EngineeringEngineering (R0)

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