Sentence examples for analytics and implementation of from inspiring English sources

In this paper, we propose that two processes of "Big data analytics" and "Implementation of data modeling" should be collaborated with Model-driven architecture (MDA).

Therefore, we propose that two processes of "Big data analytics" and "Implementation of data modeling" should be collaborated with Model-driven architecture (MDA) [2] in order to repeat data modeling fast and find a new service shown in Fig. 1.

So far, it can be concluded that the reputation of data modeling with data analytics and implementation can strengthen the "veracity" of big data.

We provide a detailed description and guidelines of how design analytics and implementation analytics can be achieved based on the Petri net framework.

Findings suggest that the framework provides an adequate set of concepts to support the design and implementation of analytics solutions.

Second, the absence of issues related to privacy and ethics in the questions solicited from the workshop presentations and the presence of these issues in the audience's questions (Table 3) point to a possible gap between design and implementation of learning analytics solutions.

In this work we address the development and implementation of the analytic coarse-mesh finite-difference (ACMFD) method in a nodal neutron diffusion solver called ANDES.

This situation is fluid, as sequencing technology (in the form of devices that are increasingly more portable, cost less and have a longer read capability) and analysis (in the form of cloud computing, more efficient metagenomic analysis and implementation of automated analytic pipelines) continue to develop apace.

This work explains that the data mining algorithm will become much more important and much more difficult; thus, challenges will also occur on the design and implementation of big data analytics platform.

The rest of this paper is organised as follows: Section II describes the algorithms and technologies underpinning the proposed architecture along with related work in this Section III outlines the architecture and implementation of the proposed technical support analytics platform.

The inspiration and implementation of this fluency mechanism were based on the visual analytics system SemanticPrism and the VAST 2012 challenge dataset.