英译为sleeper effect,即“睡眠效应”,根据艾宾豪斯的忘却曲线原理,人脑对信息的记忆量随时间的推移逐渐减少,而忘却是从信息的次要属性开始的。
并通过硬件平台测试其休眠效果。
本文从休眠数据的产生、识别和处理三个方面进行研究,取得较好效果并维持数据仓库的性能不会下降。
Through researching on the origin of dormant data, the identification of them, and how to do with them these three problems in this paper, we get a good effect on the performance of data warehouse.
缩短休眠期的效果与涂石灰氮的时间没有关系。
The effect of shortening dormancy period bears no relation with The Times on which lime Nitrogen were smeared.
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