Rough Sets is a important method in DataMining.
而粗集方法是数据挖掘中的一个重要方法。
The DataMining is one of the most front research area in Data-Base and Decision-making support system.
数据挖掘是目前数据库和决策支持领域的最前沿的研究领域之一。
The technique of OLAP and DataMining became more and more mature, so that the application market of Data Warehouse was built a good foundation.
在线分析处理(OLAP)和数据挖掘技术的不断成熟，为数据仓库应用市场的开拓打下了良好的基础。
Datamining in Mass databases (chapter2) : Aim of this study is to predict the presence or absence of the certain substructure by learning from Mass spectra library.
质谱库的数据发掘(第二章)：这部分的主要目的是通过对质谱数据库的机器学习，来达到对未知化合物的某些结构或子结构的预测。
It's helpful to find out the special curve which hide in the data Wavehouse's data through Datamining technology, the special curve can help people to analyse the changes of the market.
数据挖掘技术能有效地协助企业发现数据仓库数据中潜藏的特性曲线，这种曲线能帮助他们了解市场可能出现的变化。
There are three main departs of this paper: Datamining in Mass databases, comparison for matching algorithms in complex herbal medicine system and research in herbal medicine fingerprint technology.
本文主要分为三个部分：质谱库的数据发掘，检索算法在中药复杂体系中的比较研究和中药指纹图谱建立的初步探索。
There are three main departs of this paper: Datamining in Mass databases, comparison for matching algorithms in complex herbal medicine system and research in herbal medicine fingerprint technology.
本文主要分为三个部分：质谱库的数据发掘，检索算法在中药复杂体系中的比较研究和中药指纹图谱建立的初步探索。
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