Titlebook: Advanced Data Mining and Applications; 14th International C Guojun Gan,Bohan Li,Shuliang Wang Conference proceedings 2018 Springer Nature S

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書目名稱Advanced Data Mining and Applications影響因子(影響力)




書目名稱Advanced Data Mining and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度




書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Data Mining and Applications被引頻次




書目名稱Advanced Data Mining and Applications被引頻次學(xué)科排名




書目名稱Advanced Data Mining and Applications年度引用




書目名稱Advanced Data Mining and Applications年度引用學(xué)科排名




書目名稱Advanced Data Mining and Applications讀者反饋




書目名稱Advanced Data Mining and Applications讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-319-14866-3mal prediction model of the scene delay is obtained. Experimental results show that compared with the traditional prediction model whose average accuracy is 70.45%, the proposed prediction model has higher prediction accuracy of 88.04%. In addition, the proposed model is verified to be robust.

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Berichte zur Lebensmittelsicherheit 2013 cluster centers. The experimental results show that the Slice_OP algorithm outperformed the state-of-the-art Kmeans++ algorithm and random center initialization in the .-means algorithm on synthetic and real-world datasets.

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Berichte zur Lebensmittelsicherheit 2014Nomenclature of Medicine of Clinical Terms). The experimentations performed with CIRM on the OHSUMED corpus showed encouraging results: the improvement rates are +43.18% and +43.75% in terms of Main Average Precision and Normalized Discounted Cumulative Gain when compared to the baseline.

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Berichte zur Lebensmittelsicherheit 2014at leads to more accurate approximation of fitness function. This research work can contribute to the development of a more efficient search method for detecting subspace outliers. The experimental results demonstrate the improved efficiency of our technique compared with the existing method.

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Berichte zur Resistenzmonitoringstudie 2009(ALM). Both quantitative and qualitative experimental results on two challenging datasets show competitive results as compared with other state-of-the-art methods. In addition, a new datasets which saliency object on the edge (SOE), containing 500 images is constructed for evaluating saliency detection.