Anomaly detection using one-class SVM with wavelet packet decomposition

Anomaly detection using one-class SVM with wavelet packet decomposition

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Anomaly detection has become a popular research topic in the field of machine learning. Support vector machine is one anomaly detection technique and it is coming one the most widely used. In this research, anomaly detection is applied to road condition monitoring, especially pothole detection, usi...

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Bibliographic Details
Main Authors: Hautakangas, Hannu, Nieminen, Jukka
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Tietotekniikan laitos, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2011
Subjects:
accelerometer
anomaly detection
feature selection
one-class support vector machine
wavelet packet decomposition
Tietotekniikka
Mathematical Information Technology
602
koneoppiminen
tietotekniikka
poikkeavuus
Online Access: https://jyx.jyu.fi/handle/123456789/37465

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