1) descriptive mining tasks
预测性挖掘
2) predictive video data mining
预测性视频挖掘
3) the mining principle of F-law forecast
F-规律预测挖掘原理
4) Mining Evaluation
挖掘评测
5) personality mining
个性挖掘
1.
Research on the Personality Mining Algorithm for Learners In Network Learning;
网络学习中学习者个性挖掘算法的研究
2.
A personality mining method is proposed to obtain the personality characteristics of learners automatically in the network learning.
提出了一种面向个性化网络学习的学习者个性挖掘方法,以实现网络学习中学习者个性特征的自动获取。
6) excavating performance
挖掘性能
1.
Based on the analyzing the excavating performance of the face-shovel hydraulic excavator, this paper provides the universal analyzing m.
本文在对正铲液压挖掘机进行全面的挖掘性能分析基础上,提出了正铲液压挖掘机挖掘性能通用分析方法。
2.
The parameters,such as roadheader performance,geological conditions,working process,and working environments,which influence the excavating performance have been analyzed and discussed.
通过对影响挖掘性能的主要因素进行综合分析,讨论了掘进机性能、地质条件、工作过程和作业环境等对挖掘性能的影响,提出影响挖掘性能的关键是掘进机性能,其次是地质条件,作业环境和挖掘工艺等。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条