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Lecture Notes in Computer Science
A large and increasing number of data mining domains consider data that can be represented as permutations. Therefore, it is important to devise new methods to learn predictive models over datasets of permutations. However, maintaining models, such as probability distributions, over the space of permutations is a hard task since there are n! permutations of n elements. Recently the Fourier transform has been successfully generalized to functions over permutations and offers an attractive way todoi:10.1007/978-3-642-21043-3_22 fatcat:wfoovb4euja3taolcckgn5yblq