The effectiveness of the machine learning methods for real-world tasks depends on the
proper structure of the modeling pipeline. The proposed approach is aimed to automate the …

Introduction An approach to building a hybrid simulation of patient flow is introduced with a
combination of data-driven methods for automation of model identification. The approach is …

Estimation of the execution time is an important part of the workflow scheduling problem.
The aim of this paper is to highlight common problems in estimating the workflow execution …

Researchers increasingly rely on using web-based systems for accessing and running
scientific applications across distributed computing resources. However existing systems …

This paper presents HyperFlow: a model of computation, programming approach and
enactment engine for scientific workflows. Workflow programming in HyperFlow combines a …

Abstract Today Big Data occupies a crucial part of scientific research areas as well as in the
business analysis of large companies. Each company tries to find the best way to make …

Derwent Capital Markets, a family-owned hedge fund, will offer investors the chance to use
Twitter Inc. posts to gauge the mood of the stockmarket [sic], said co-owner Paul Hawtin.… A …

This paper presents ongoing research aimed at developing a data-driven platform for
clinical decision support systems (DSSs) that require integration and processing of various …

Purpose The massive increase in research data being produced nowadays has highlighted
the importance of research data management (RDM) to science. Research data not only …

This paper describes the approach to the design and imp le mentation of a virtual learning
laboratory (VLL) with the use of cloud computing technologies within the mode l of AaaS …