Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
Nearest Neighbor (NN) search has been in the core of spatial and spatiotemporal database research during the last decade. The literature on NN query processing algorithms so far d...
Elias Frentzos, Kostas Gratsias, Nikos Pelekis, Ya...
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
We approached this line of inquiry by questioning the conventional wisdom that audit logs are too large to be analyzed and must be reduced and filtered before the data can be anal...