PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
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The Fourier transform is among the most widely used tools for transforming data sequences and functions from what is referred to as the {\it time domain} to the {\it frequency domain}. Applications of the transform range from designing filters for noise reduction in audio-signals (such as music or speech), to fast multiplication of polynomials. This report is meant to serve as a brief introduction to the Fourier transform, for readers who are not familiar with frequency domain. It introduces the basic terminology and the main concepts of the area, as well as several application domains, providing common ground for further discussion and study.