Sentence examples for data discovery from from inspiring English sources

We describe a case study within the field of Heliophysics and provide a comparison of the evolutionary stages of data discovery, from manual to semantically enable.

It's a problem from both a data discovery perspective and from a data security and control one.

It can be transferred to a system by using interactive approaches of knowledge engineering to help the expert to make his/her implicit knowledge explicit; machine learning techniques (from artificial intelligence)s can be used to automatically induce it from data; or the Knowledge Discovery from Data approach (KDD) can be used for extracting valuable knowledge from databases.

These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data.

It facilitates data integration and discovery from global databases and digital literature.

195– 197 As a discovery-from-data approach, computational process and storage of the high magnitude data are of great challenge recently, although project-specific packages have been developed.

Compared with studies of numerical geoscience data, there are limited works on information extraction and knowledge discovery from textual geoscience data.

To enlarge the knowledge discovery from data.

ACM Transactions on Knowledge Discovery from Data 4(1), Article 2, 1-23, 2010.

The methodology contributes to problem solving under the paradigm of knowledge discovery from data in which the pre-process, the automatic interpretation of results and the explicit production of knowledge play a role as important as the analysis itself.

This study aims to develop a framework for data mining and knowledge discovery from database that consists of a Kruskal Wallis test, K-means clustering, and the variance reduction splitting criterion to investigate the huge amount of semiconductor manufacturing data and infer possible causes of faults and manufacturing process variations.