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Motivated by calibration problems in near-infrared (N IR) spectroscopy, we consider the linear regression setting in which the many predictor variables arise from sampling an essentially continuous curve at equally spaced points and there may be multiple predictands. We tackle this regression problem by calculating the wavelet transforms of the discretized(More)
The paper presents the problem of the unsupervised dis-cretization of continuous attributes for association rules mining. It shows commonly used techniques for this aim and highlights their principal limitations. To overcome such limitations a method based on the use of a SOM is presented and tested over various real world datasets.
Long memory processes are widely used in many scientific fields, such as economics, physics, and engineering. Change point detection problems have received considerable attention in the literature because of their wide range of possible applications. Here we describe a wavelet-based Bayesian procedure for the estimation and location of multiple change(More)