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This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its internal node, and splits examples based on dis-similarity between a pair of time sequences. Our method selects, for a split test, a time sequence which exists in data by exhaustive(More)
A method for the analysis of the data represented by the sum of multiple exponential functions is proposed in which each component of f(t) = n sigma i=1 aie -zetait is expressed as a spectrum. The convolution integral is derived by applying the Laplacian integral to f(t) with suitable transformation of the variables, and the spectrum representation is(More)