R is a mature open-source programming language for statistical computing and graphics.
Many areas of statistical research are experiencing rapid growth in the size of data sets …

The enormous growth of data in a variety of applications has increased the need for high
performance data mining based on distributed environments. However, standard data …

Data mining is being increasingly used in biology. Biologists are adopting prototyping
languages, like R and Matlab, to facilitate the application of data mining algorithms to their …

A new delay-insensitive data encoding scheme for global communication, level-encoded
transition signaling (LETS), is introduced. LETS is a generalization of level-encoded dual rail …

This paper outlines the major components and function of the technologically integrated
oncosimulator developed primarily within the Advancing Clinico Genomic Trials on Cancer …

In this paper, we describe the experimental settings we adopted in the context of the 2010
CoNLL shared task for detecting sentences containing uncertainty. The classification results …

In this paper, we describe an analysis tool based on the statistical environment R, GridR,
which allows using the collection of methodologies available as R packages in a grid …

In this paper we discuss the advantages of investigating primate societies to build Multi-
Agent Systems, and we present our preliminary results in this context. We first give an …

This paper deals with problems concerning missing data in statistical databases. Multiple
imputation is a statistically sound technique for handling incomplete data. Two problems …

The recent advances in the field of bioinformatics present a number of challenges in the
secure and efficient management and analysis of biological data resources. Workflow …