Sentence examples for discovery and classification from inspiring English sources

From the 17th to the 20th centuries, with the discovery and classification of numerous parasites, came the realization of the global burden of parasites.

"DataGravity's data discovery and classification capabilities support HyTrust's mission to deliver a security policy framework that provides customers with full visibility, insight and enforcement of policy across workloads.

Mobile group of city hot issues of data method was studied in [13], based on the hot issues for discovery and classification.

The key contribution of this work is the idea that global structural information of human activities can be encoded using a subset of their local event subsequences, and that this encoding is sufficient for activity-class discovery and classification.

Already the National Science Foundation, through its Planetary Biodiversity Inventories for select groups of organisms has shown that intense, team efforts can speed the discovery and classification of unknown organisms, says meeting organizer Quentin Wheeler from Arizona State.

We discuss a proposal to easily locate, distribute and download documents generated by Public Administrations that integrates semantic-web functionalities for document discovery and classification, and peer-to-peer solutions to facilitate access and download.

In this study, we explicitly interrogated factors that inhibit integrative analyses of multiple data types for both disease class discoveries and classifications [ 17].

When the three steps were finished, the newly constructed features of patients can be used as inputs to do disease class discoveries and classifications by other algorithms e.g., k-means [ 21, 22] and support vector machines [ 23, 24].

In the post-genomic era, hybrid models that take advantage of different algorithms in different stages of gene selection are needed for biomarker discovery and disease classification.

Analysis of microarray data presents unprecedented opportunities and challenges for data mining in areas such as gene clustering, class discovery, and tumor classification [ 1].

RNA interference screens in HeLa have led to the discovery and functional classification of genes involved in mitosis/cytokinesis (Chaudhry et al. 2002; Kittler et al. 2004; Zhu et al. 2005; Kim et al. 2007; Neumann et al. 2010; Hnilicová et al. 2011), endocytosis (Pelkmans et al. 2005), and other cellular processes (Alekseev et al. 2009; Fuchs et al. 2010).