In this paper we present a comparison of two Inductive Logic Programming (ILP) systems on the Sisyphus dataset. The aim of the comparison is to to show how the systems behave on a large dataset. The considered systems are Aleph and Tilde. Both systems have an unacceptable execution time on the whole dataset, so they are run over samples extracted from the dataset. The comparison shows that, on average, Tilde finds more accurate theories in a smaller time.
A Comparison of ILP Systems on the Sisyphus Dataset
RIGUZZI, Fabrizio
2005
Abstract
In this paper we present a comparison of two Inductive Logic Programming (ILP) systems on the Sisyphus dataset. The aim of the comparison is to to show how the systems behave on a large dataset. The considered systems are Aleph and Tilde. Both systems have an unacceptable execution time on the whole dataset, so they are run over samples extracted from the dataset. The comparison shows that, on average, Tilde finds more accurate theories in a smaller time.File in questo prodotto:
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