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The variation in the concentration of group macerals in various seams of Matanomadh and Panandhro lignite mines is shown in Fig. 3 while the characteristic macerals are shown in photomicrographs (Fig. 4).
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Typical application examples of the FMM faces with large shear height in Chinese coal mines are shown on Table 2.
The gas drainage and mining at the No. 8105 coalface in Tashan coal mine is shown in Fig. 66.
A tool for data mining and image processing is presented and its application to image mining is shown on the task of Hep-2 cell-image classification.
The trace element content of the products of different densities of the No. 6 coal from Heidaigou mine is shown in Fig. 17.
The relative abundance of maceral groups and mineral matter of various seams in the Giral lignite mine is shown in Fig. 4.
The application of these principles to the development of the predictive QSAR models of anticonvulsant agents followed by the use of these models for database mining is shown to afford the discovery of novel anticonvulsant agents.
The motivation behind this work is twofold: First, although market-prediction through text-mining is shown to be a promising area of work in the literature, the text-mining approaches utilized in it at this stage are not much beyond basic ones as it is still an emerging field.
The flowchart for data mining is shown in Supplementary Material, Figure S1.
The entry to this class of data mining is shown by the yellow arrow in Figure 3.
The strategy of the QTL mining is shown as flow chart in the Additional file 7: Figure S6, and the final results are presented in Table 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com