Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

Data-intensive systems encompass terabytes to petabytes of data. Such systems require
massive storage and intensive computational power in order to execute complex queries …

Recent advances in data-intensive computing for science discovery are fueling a dramatic
growth in the use of data-intensive iterative computations. The utility computing model …

In this paper, we present an effective and scalable system for multivariate volume data
visualization and analysis with a novel transfer function interface design that tightly couples …

Support Vector Machines (SVM) are powerful classification and regression tools. They have
been widely studied by many scholars and applied in many kinds of practical fields. But their …

Big Data has become a hot topic across several business areas requiring the storage and
processing of huge volumes of data. Cloud computing leverages Big Data by providing high …

Text classification is a popular research topic in data mining. Many classification methods
have been proposed. Feature selection is an important technique for text classification since …

This paper reviews the Ogre classification of Big Data application with 50 facets divided into
four groups or views. These four correspond to Problem Architecture, Execution mode, Data …

We study many Big Data applications from a variety of research and commercial areas and
suggest a set of characteristic features and possible kernel benchmarks that stress those …

In this paper, we present a novel scalable approach for visualizing multivariate unsteady
flow data with Lagrangian-based Attribute Space Projection (LASP). The distances between …