Sentence examples for derivation of knowledge from inspiring English sources

Information granules are complex entities that arise in the process of abstraction of data and derivation of knowledge.

The second one, newly designed, provides knowledge acquisition and learning tools for exploration and derivation of knowledge that can be employed in the reaction simulation process.

Because of the many ways in which the term "metaphysical" is used for example, Kant himself used the term "metaphysics" in two different senses, in one sense to refer to the derivation of knowledge from pure reason that he discredited but in another to refer to his own theory of the sources of knowledge, what we now call his epistemology we will call idealism in sense (1) "ontological idealism".

a is the distance between house and breeding places b is the number of bites per man per year We have the following statements: - Distance belongs to GIS Agent - Biting rate belongs to DBMS Agent - House number belongs to GIS Agent The ES Agent is not necessary in this query because there is not derivation of knowledge.

It is now possible to demonstrate that the derivation of design knowledge through constructive processes, in itself, provides a medium for design learning.

The domain repository is based on RDF, RDFS and TRIPLE and includes extensions supporting navigation in the artifact net and derivation of new knowledge: Modlets, Actlets and Spot Views.

To tackle these new challenges systematically, a next generation of bioinformatics tools needed to be developed, covering all of the aforementioned aspects of metabolome data analysis, ranging from processing raw data (RD) to finishing and finally the derivation of biological knowledge.

New features improve both efficiency and effectivity of the entire processing pipeline of chromatographic raw data from pre-processing to the derivation of new biological knowledge.

It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of information and even knowledge from data.

As a soft computing tool, rough set theory has become a powerful mathematical framework for pattern recognition, attribute value representation model to describe the dependencies among attributes, evaluate the significance of attributes, derivation of decision rules and knowledge discovery.

In each case, an estimate of the true uncertainty (i.e., lack of knowledge) in the derivation of each parameter is provided.