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An Analysis on the Performance of Tree and Trie based Dictionary Implementations with Different Data Usage Models

机译：基于树和Trie的不同数据使用模型字典实现性能分析

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M. Thenmozhi; H. Srimathi;
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年度 2015
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1. An Analysis on the Performance of Tree and Trie Based Dictionary Implementations with Different Data Usage Models [J] . M. Thenmozhi, H. Srimathi Indian Journal of Science and Technology . 2015,第4期

机译：不同数据使用模型的基于树和树的字典实现的性能分析
2. An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data [J] . Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Remote Sensing . 2016,第11期

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3. Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naive Bayes tree for landslide susceptibility modeling [J] . Chen Wei, Zhang Shuai, Li Renwei, The Science of the Total Environment . 2018,第deca10期

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4. A High-Performance Key-Value Query Solution Based on Hash dictionary and Trie tree [C] . Zhijia Yan, Zhonghan Sun, Yidong Zheng, International Conference on Computer Science and Intelligent Communication . 2015

机译：基于哈希字典和Trie树的高性能键值查询解决方案
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7. A High-Performance Key-Value Query Solution Based on Hash Dictionary and Trie Tree [O] . Zhijia Yan, Zhonghan Sun, Yidong Zheng, 2015

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An Analysis on the Performance of Tree and Trie based Dictionary Implementations with Different Data Usage Models

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