A Streaming Parallel Decision Tree Algorithm
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Journal of Machine Learning Research
دوره 11 شماره
صفحات -
تاریخ انتشار 2010