**4. Conclusions**

We present out latest study on using wavelet transform technique for analysing the educational network traffic data. The 2D and 3D presentation network traffic data, i.e. traffic in 24 h and 365 days, helps us to understand better the network traffic pattern. With wavelet transform, we are able to perform network traffic data decomposition and data denoising. With continuous wavelet transform (CWT), we can analyse the data and show how the frequency content of the data changes over time. The CWT analysis shows different characteristics of total traffic data, WWW data and Email data. This time dependent frequency varying information, which is lacking in other techniques, such FFT, is very useful for network traffic analysis. By using CWT, we can easily identify the event which is otherwise difficult to identify in the original time domain.

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