This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
Scientists have long relied on abstract models to study phenomena that are too complex for direct observation and experimentation. As new scientific modeling methodologies emerge...
ABSTRACT. Objectives. This paper addresses Grid-based integration and access of distributed data from infectious disease patient databases, literature on in-vitro and in-vivo pharm...
Peter M. A. Sloot, Alexander Boukhanovsky, Wilco K...
Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...