Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousan...
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Chr...
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
In this paper we study in-network query processing in disconnected mobile environments, where both ad-hoc communication and infrastructure communication are available. Depending o...
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...