Abstract
Recently there has been significant development in the use of wavelet methods in various Data Mining processes. This article presents general overview of their applications in Data Mining. It first presents a high-level data-mining framework in which the overall process is divided into smaller components. It reviews applications of wavelets for each component. It discusses the impact of wavelets on Data Mining research and outlines potential future research directions and applications.
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CITATION STYLE
Li, T., Ma, S., & Ogihara, M. (2009). Wavelet Methods in Data Mining. In Data Mining and Knowledge Discovery Handbook (pp. 553–571). Springer US. https://doi.org/10.1007/978-0-387-09823-4_27
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