Sentence examples for data driven knowledge from inspiring English sources

Big data driven knowledge based models and other computational schemes allows to alternate hard experimental works.

The 21st Century SM enterprise is data driven, knowledge enabled, and model rich with visibility across the enterprise (internal and external) such that all operating actions are determined and executed proactively by applying the best information and a wide range of performance metrics.

Table 1 can be consulted to gain an insight into the relation between different big crisis data sources (discussed in the previous section) and corresponding enabling technologies and example scopes where (big data driven) actionable knowledge can be applied.

We then compared the obtained inferred networks to known biological networks through data driven and knowledge driven biological analyses.

Big-data helps drive knowledge discovery and brings opportunities to research; however, significant science challenges remain.

The use of PSFs in this way forms one part of the development of data driven soft-sensors using a knowledge fusion approach.

Developing such a description requires both bottom-up, data driven processes that associate symbolic knowledge representation structures with the data coming out of a vision system, and top-down processes in which high level, symbolic information is in its turn employed to drive and further refine the interpretation of a scene.

A hybrid (or fusion) approach is combining both data-driven and PoF approaches together to get the best from each, i.e., PoF can compensate the lack of data and data driven compensates the lack of knowledge about system physics.

Functional analytics relates to the view of analytics as a means to an end, knowledge structures, data driven decision-making approach or management tools that help institutions to accomplish specific goals.

In this paper, we present a data driven method to develop a knowledge base relating drugs to pathological conditions through their therapeutic indications.

We present a data driven method to create a knowledge base linking medications to pathological conditions through their therapeutic indications from elements within the EHRs.