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Emerging Computation and Information teChnologies for Education pp 267–272Cite as

Algorithm Analysis and Application Based on Mutation Points Found in Quadratic Wavelet Transformation

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 146))

Abstract

This paper, directs at data analysis of remote network business, introduces the algorithm of wavelet analysis in the analysis of users and business (namely the time series data analysis of users’ business). In the application of finding mutation points of time series data, put forward the method of determining data mutation points with the algorithm of quadratic wavelet transformation, to resolve that the sequences with noise are difficult to determine mutation points.

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Author information

Authors and Affiliations

  1. Department of Modern Distance Education, Beijing Institute of Technology, Beijing, China

    Li Xiaoping, Liang Chunhui, Li Yinxiang, Chen Si, Sun Zhentian, Wu Xiaobing, Xu Qiong, Shi Yan, Li Lishan & Jing Yuhuan

Authors
  1. Li Xiaoping
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  2. Liang Chunhui
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  3. Li Yinxiang
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  4. Chen Si
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  5. Sun Zhentian
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  6. Wu Xiaobing
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  7. Xu Qiong
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  8. Shi Yan
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  9. Li Lishan
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  10. Jing Yuhuan
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Corresponding author

Correspondence to Li Xiaoping .

Editor information

Editors and Affiliations

  1. , School of Com. and Inf. Eng., Zhejiang Gongshang University, Hangzhou, 310018, China, People's Republic

    Elwin Mao

  2. , School of Computer Science & Technology, University of Science & Technology of Ch, Jinzhai Road NO. 96, Hefei, 230027, Anhui, China, People's Republic

    Linli Xu

  3. , Information Technology Department, Zhejiang Economic & Trade Polytechnic, Xuelin Street 280, Hangzhou, 310018, China, People's Republic

    Wenya Tian

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Cite this paper

Xiaoping, L. et al. (2012). Algorithm Analysis and Application Based on Mutation Points Found in Quadratic Wavelet Transformation. In: Mao, E., Xu, L., Tian, W. (eds) Emerging Computation and Information teChnologies for Education. Advances in Intelligent and Soft Computing, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28466-3_37

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  • DOI: https://doi.org/10.1007/978-3-642-28466-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28465-6

  • Online ISBN: 978-3-642-28466-3

  • eBook Packages: EngineeringEngineering (R0)

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