Titlebook: Advanced Data Mining and Applications; 7th International Co Jie Tang,Irwin King,Jianyong Wang Conference proceedings 2011 Springer-Verlag G

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




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




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




书目名称Advanced Data Mining and Applications年度引用




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




书目名称Advanced Data Mining and Applications读者反馈




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

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,Die Künftigen Entwicklungsmöglichkeiten,is presented for herbal combinational rule mining. The herbal network is created from the extracted dataset of paired herbs. The partitioning procedure is designed to extend FEC algorithm to deal with the weighted herbal network. Experiments demonstrate that the method proposed has the capability of discovering groups of related herbs.

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https://doi.org/10.1007/978-3-030-51449-5according to their similarities to a predefined set of seed terms. This paper proposes a novel and subsymbolic approach in sentiment detection, with a level of accuracy comparable to the baseline, SO-LSA, using a special type of Artificial Neural Networks (ANN), an auto-encoder called Recursive Auto-Associative Memory (RAAM).

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Conference proceedings 2011 were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

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