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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书目名称Advanced Data Mining and Applications影响因子(影响力)




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书目名称Advanced Data Mining and Applications网络公开度




书目名称Advanced Data Mining and Applications网络公开度学科排名




书目名称Advanced Data Mining and Applications被引频次




书目名称Advanced Data Mining and Applications被引频次学科排名




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书目名称Advanced Data Mining and Applications年度引用学科排名




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书目名称Advanced Data Mining and Applications读者反馈学科排名

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GUEER

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.