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A Research on Behavior of Sleepy Lizards Based on KNN Algorithm

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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Abstract

A new research method for the sleepy lizards based on the KNN algorithm and the traditional social network algorithms is proposed in this paper. The famous paired habit of sleepy lizards is verified here based on our proposed algorithm. In addition, some common population characteristics of the lizards are also introduced by using the traditional social net work algorithms. Good performance of the experimental results shows efficiency of the new research method.

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Author information

Authors and Affiliations

  1. Shenzhen Graduate School, Harbin Institute of Technology, 518055, Xili, Nanshan, Shenzhen, China

    Xiaolv Guo, Lin-Lin Tang & Jeng-Shyang Pan

  2. School of Computer Science, Engineering and Mathematics, Flinders University of South Australia, GPO Box 2100, Adelaide, South Australia, 5001

    Shu-Chuan Chu & John F. Roddick

Authors
  1. Xiaolv Guo
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  2. Shu-Chuan Chu
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  3. Lin-Lin Tang
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  4. John F. Roddick
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  5. Jeng-Shyang Pan
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2012 Springer-Verlag Berlin Heidelberg

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Guo, X., Chu, SC., Tang, LL., Roddick, J.F., Pan, JS. (2012). A Research on Behavior of Sleepy Lizards Based on KNN Algorithm. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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