Titlebook: Relational Data Mining; Sa?o D?eroski,Nada Lavra? Book 2001 Springer-Verlag Berlin Heidelberg 2001 Algorithmic Learning.Data Analysis.Data

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Inducing Classification and Regression Trees in First Order Logicion) or a conjunction of literals in each node, and assigns either a discrete class or a numerical value to each leaf. In addition, we have extended the . methodology by adding linear regression models to the leaves of the trees; this does not have a counterpart in ., but was inspired by its approac

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Learning Probabilistic Relational Modelsains. In this chapter, we show that the compact and natural representation of PRMs allows them to be learned directly from an existing relational database using well-founded statistical techniques. We give an introduction to PRMs and an overview of methods for learning them. We show that PRMs provid

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Usama Fayyad the sea (e.g., search-and-rescue) but also for complementing other measurements of atmospheric or oceanic parameters during research flights.978-3-319-00621-5Series ISSN 2191-5369 Series E-ISSN 2191-5377

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Sa?o D?eroski,Nada Lavra? the sea (e.g., search-and-rescue) but also for complementing other measurements of atmospheric or oceanic parameters during research flights.978-3-319-00621-5Series ISSN 2191-5369 Series E-ISSN 2191-5377