An approach based on wavelet analysis and non-linear mapping to detect anomalies in dataset

Authors:
Song Yanpo;Tang Ying;Peng Xiaoqi;Wang Wen;Tang Lu
Affiliations:
School of Information Science and Engineering, Central South University, Changsha, China;School of Physics Science and Technology, Central South University, Changsha, China;School of Information Science and Engineering, Central South University, Changsha, China;School of Energy Science and Engineering, Central South University, Changsha, China;School of Energy Science and Engineering, Central South University, Changsha, China
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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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.