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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 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 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.
The use of data mining is shown as an initiative of the forest area to search techniques in other areas of knowledge that contribute in estimates of interest among researchers and foster the idea of diversifying methods in order to find better results, leaving the known techniques traditional and commonly used.
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Thus, BAS mining was shown to be a useful method for understanding the characteristics of active structures.
This indicates that multi-relational mining was shown to be the most advantageous way to prospect for data as the proposed algorithm was two times faster than the PatriciaMine, as can be seen in Figure 12.
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 gas drainage and mining at the No. 8105 coalface in Tashan coal mine is shown in Fig. 66.
The trace element content of the products of different densities of the No. 6 coal from Heidaigou mine is shown in Fig. 17.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com