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

Authors :
Lipo Wang
Licheng Jiao
Guanming Shi
Xue Li
Jing Liu
Song Yanpo
Tang Ying
Peng Xiaoqi
Wang Wen
Tang Lu
Source :
Fuzzy Systems & Knowledge Discovery (9783540459163); 2006, p545-548, 4p
Publication Year :
2006

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540459163
Database :
Complementary Index
Journal :
Fuzzy Systems & Knowledge Discovery (9783540459163)
Publication Type :
Book
Accession number :
32963756
Full Text :
https://doi.org/10.1007/11881599_64