Sentence examples for approaches for data mining from inspiring English sources

Topographic projection maps do not assume the existence of clusters, boundaries or classes and so are not subject to the same criticisms as supervised approaches for data mining.

These data provide a starting point for further investigations of legume plant genomes based on their global comparative analysis and for the development of more sophisticated approaches for data mining.

We used in silico approaches for data mining of the KLK15 gene for potential functional motifs and differential splicing to determine regions of the gene that could be functionally compromised by genetic variations.

Secure the data itself using a privacy-preserving approach for data mining and analytics.

We present an approach for data mining on metabolite intensity profiles as obtained from mass spectrometry measurements.

The discovery of an EST-SSR marker based on gene expression data and with complete linkage to the Li 2 locus presents a novel approach for data mining a genetic marker database.

Although examples in robot control are used to illustrate the basic ideas, the new approach is generally suitable for data mining tasks where knowledge can be discovered collectively by a set of similar semiautonomous or autonomous agents from a geographically, geometrically, or timely distributed environment, especially in high-dimensional scientific and engineering data environments.

This is needed for data mining approaches to allow patientclustering, identify novel biomarkers and develop novel intervention strategies controlling necrosis and inflammation.

These non-regular structural elements in proteins are by now almost completely classified as turn structures and available via Secbase for data mining approaches [3].

As negative data, the pseudo hairpin dataset as used by Ng and Mishra [24] was obtained, since we have shown earlier, that this dataset is the one currently best suited for data mining approaches [14].

In a second approach we used the TagFinder for data mining [41].