The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
A successful IT Company is characterized by its ability to put the right information in front of the right decision-makers at the right time while concerns about security issues. ...
Abstract. Interpolation of field data from unstructured meshes requires the potentially expensive identification of the finite element or volume within which the interpolating poin...
Mahdieh Khoshniat, Gordan R. Stuhne, David A. Stei...
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...