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。
The analysis result shows that it has prominent effect of the made pertinence customer marketing strategy in increasing user's quantity and improving user's quality under the direction of data mining.
分析结果表明，在数据挖掘指导下特定的针对性客户营销策略在增加企业用户数量和提高用户质量方面有显著效果。
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。
In this paper, the sample database for data mining is designed by analyzing historical data of raw cotton property and spinning yarn quality.
通过对原棉性能及成纱质量历史数据的分析，建立了用于数据挖掘的样本库。
As an importance task and method for Data Mining, clustering analysis has a great impact on algorithmic efficiency and clustering quality, which is one of difficult problems in Computer Science area.
聚类分析是数据挖掘中一种重要的挖掘任务和挖掘方法，使得聚类算法的效率和聚类质量在数据挖掘中起着至关重要的作用，也成了计算机科学领域的难题之一。
Based on properties of steel manufacture process, use of dynamic data mining in quality control is described. General methods for quality prediction and analysis with data mining are introduced.
本文从钢铁生产过程的特点出发，将动态数据挖掘运用于质量控制中，阐述了利用数据挖掘解决质量预测问题和质量分析问题的一般方法。
These algorithms can accelerate data mining process and improve quality of data mining.
这些算法，加速了数据挖掘过程的完成，提高了数据挖掘质量。
Data after simply integer mapping can be used as the input of sequential pattern mining, this afford high quality data and uniform format for quickly mining sequential pattern.
数据仓库中的数据经过简单的整数映射可以直接作为序列模式挖掘算法的输入，为高效地挖掘序列模式提供了高质量的数据和统一的格式。
This article proposes a data sorting method via the EM algorithm, for the purpose of mining high-quality decisions by performing data reasoning in a database with incomplete, noisy and uncertain data.
针对存在不完整、含噪声和不确定数据的数据库，通过挖掘高质量的决策，对数据库的数据进行推理，提出了一种基于EM算法的数据清理方法。
The fifth chapter analyzesthe results based on visualized data mining, about spatial distribution discipline of SecondSonghua River water quality and it's affecting factors.
第五章，基于可视化数据挖掘的结果分析，主要包括二松水质状况的空间分布规律以及影响因子分析。
Based on properties of low temperature iron plating, use of dynamic data mining in quality control is described. General methods for quality prediction and analysis with data mining are introduced.
从低温镀铁生产过程的特点出发，将动态数据挖掘技术运用于质量控制中，阐述了利用数据挖掘解决质量预测问题和质量分析问题的一般方法。
Then gives a brief introduction of the basic concepts of quality management and data mining and builds a data set for mining.
然后在简要介绍产品质量管理和数据挖掘的基本概念的基础上，针对某一实际企业建立了数据挖掘数据集市模型；
Then gives a brief introduction of the basic concepts of quality management and data mining and builds a data set for mining.
然后在简要介绍产品质量管理和数据挖掘的基本概念的基础上，针对某一实际企业建立了数据挖掘数据集市模型；
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