并行流决策树Parallel streaming decision trees |
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课程网址: | http://videolectures.net/icml08_richter_psdt/ |
主讲教师: | Yossi Richter |
开课单位: | 海法研究实验室 |
开课时间: | 2008-09-01 |
课程语种: | 英语 |
中文简介: | 提出了一种新的建立决策树分类器的算法。该算法是在分布式环境中执行的, 专门用于对大型数据集和流数据进行分类。经验表明, 它与标准决策树分类器一样准确, 同时可扩展到无限流数据和多个处理器。 |
课程简介: | A new algorithm for building decision tree classifiers is proposed. The algorithm is executed in a distributed environment and is especially designed for classifying large datasets and streaming data. It is empirically shown to be as accurate as standard decision tree classifiers, while being scalable to infinite streaming data and multiple processors. |
关 键 词: | 数据挖掘; 时空流挖掘; 决策树分类算法; 大型数据集 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-15:wuyq |
阅读次数: | 40 |