1. 基于MapReduce 和 Spark 的大数据主动学习比较研究.
- Author
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翟俊海, 齐家兴, 沈 矗, 宋丹丹, 王谟瀚, and 田 石
- Abstract
In our previous work, a big data active learning algorithm based on MapReduce was proposed. In this paper, we transplant this algorithm into the Spark environment and propose a Spark based big data active learning algorithm. Furthermore, the two algorithms are experimentally compared on four aspects: running time, number of files, number of synchronizations, and memory cost. Some valuable conclusions are obtained, which can be very helpful to researcher s in the related fields. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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