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An Approach Based on Wavelet Analysis and Non-linear Mapping to Detect Anomalies in Dataset

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Fuzzy Systems and Knowledge Discovery (FSKD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

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Abstract

An approach based on wavelet analysis and non-linear mapping is proposed in this paper. Using the non-linear mapping to decrease the dimensions of data, taking full advantage of wavelet analysis’ superiority in local analysis, the approach is able to detect anomalies accurately. The experiments show that the approach is accurate and practical.

This research is supported by National Natural Science Foundation of China (50374079) and Specialized Research Fund for the Doctoral Program of Higher Education(20030533008).

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References

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, 410083, China

    Song Yanpo & Peng Xiaoqi

  2. School of Energy Science and Engineering, Central South University, Changsha, 410083, China

    Song Yanpo, Peng Xiaoqi, Wang Wen & Tang Lu

  3. School of Physics Science and Technology, Central South University, Changsha, 410083, China

    Tang Ying

Authors
  1. Song Yanpo
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  2. Tang Ying
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  3. Peng Xiaoqi
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  4. Wang Wen
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  5. Tang Lu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

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© 2006 Springer-Verlag Berlin Heidelberg

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Yanpo, S., Ying, T., Xiaoqi, P., Wen, W., Lu, T. (2006). An Approach Based on Wavelet Analysis and Non-linear Mapping to Detect Anomalies in Dataset. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_64

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  • DOI: https://doi.org/10.1007/11881599_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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