...理(Total Quality Management) ‧软体品质(Software Quality) ‧统计制程品管(S P C) ‧资料采矿与品质(Data Mining and Quality) ‧稳健设计(Robust Design) .
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The analysis and mining of bioinformation can be strongly supported by means of acquiring high quality bio-data efficiently and conveniently from integrated heterogeneous bioinformation resource.
通过有效手段从整合的异构生物信息资源中获取高质量的生物数据,能够为生物信息的分析和挖掘提供强有力的支持。
In Stream Model of Industry, The application of Data Mining must bring higher product yield and quality, and create more benefit.
在流程型工业中,数据挖掘的应用必定会给工业带来更高的产品产量与质量,以及创造更大的效益。
Based on the combination of data mining and statistical process control, a mix-produced process quality control method is proposed.
将数据挖掘技术与统计过程控制技术相结合,提出了一种混合的生产过程质量控制方法。
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