Sentence examples for single data mining from inspiring English sources

At every single data mining conference we won all the awards in 2009.

The fundamental concern to design a new type of data mining engine is that one single data mining method (or algorithm) or one-step mining procedure by conventional platforms or software tools are limited and not easy to meet all the possible needs in different phrases of service provision in smart business.

Since by the usage of a single data mining algorithm, it is difficult to diagnose or predict diseases, therefore in this research, we take a combination of the advantages of some algorithms in order to achieve better results in terms of efficiency.

In the diagnosis of CHD in TCM, there could be several patterns of syndromes for one patient, while the conventional single label data mining techniques could only build one model at a time.

The FASTA-formatted files of EST sequences were downloaded and merged into a single dataset for data mining.

The FASTA-formatted files of longan and lychee sequences were merged into a single dataset for further data mining.

These databases may be aggregated using several techniques to create single data sets that may be mined using standard approaches; however, separate databases may, in their design or data representation, capture information that is analytically useful and that is lost on integration.

We propose the single photon altimeter signal processing and data mining algorithm based on the Poisson statistic filter (histogram method) and the modified Kalman filter, providing all common altimetry products (altitude, slope, background photon flux and albedo).

It integrates interactive graphic visualization and statistical data mining into a single package.

Here we present a new open-source software package designed to facilitate the analysis of atmospheric data, with emphasis on data mining applications applied to single-particle mass spectrometry data from aerosol particles.

The paper describes a computerized process of myocardial perfusion diagnosis from cardiac single proton emission computed tomography (SPECT) images using data mining and knowledge discovery approach.