It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Mining the association rules (or knowledge) from data can be described by a qualitative mapping based on conversion of quantity quality features of attributes.
指出了若将规则看作是一种广义的特征，则从数据中挖掘规则(或知识)，可用属性量-质特征转化的定性映射加以刻画。
Personalized index, a service based on the knowledge discovery, involves in a range of fields such as data-mining, knowledge-index, computer linguistics, informatics etc.
个性化检索是基于知识发现的一种服务，作为一项综合技术，它涉及到数据挖掘、知识检索、计算机语言学、信息学等多个领域。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
In this paper, a intelligent analysis mode based on Data Mining in Armored Equipment Maintenance and Management is presented to get a useful knowledge for the decisionmaker.
本文提出了基于智能分析中的数据挖掘技术提出了装备维修管理智能分析模型，实现从海量数据中挖掘出有用的模式，为相关人员提供决策支持。
Data mining summarizes the knowledge based on the massive information in data warehouse.
而数据挖掘可以从数据仓库的海量信息中归纳出知识。
According to quantitative parameters mapping relation, heuristic knowledge acquisition strategy based on qualitative reasoning and data mining is proposed.
针对量化参数间映射关系，提出了基于定性推理和基于数据挖掘的启发性知识获取策略。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods.
基于粗糙集数据挖掘理论的汽轮机故障预测和诊断，提出了一种新的方法，旨在克服现有的一些实现方法的知识短缺。
The data mining method based on the Concept Lattice is constituted by the two key steps: construction of concept lattices and extraction of designed grid knowledge.
基于概念格的数据挖掘方法由两个关键步骤构成：概念格的构建和基于构建好的概念格的知识提取。
With the grid and data mining technology and continuous improvement, knowledge-based grid of data mining technology will be widely used.
伴随着网格和数据挖掘技术的不断提高，基于知识网格的数据挖掘技术将得到广泛的应用。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aiming at overcoming shortages of some current knowledge attaining methods.
针对当前专家系统知识获取瓶颈的难题，提出了基于粗糙集数据挖掘的汽轮机故障预报及诊断方法。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
The article discussed in the knowledge grid architecture based on a grid-based distributed data mining process.
文中在讨论知识网格体系结构的基础上实现了基于网格的分布式数据挖掘过程。
The article discussed in the knowledge grid architecture based on a grid-based distributed data mining process.
文中在讨论知识网格体系结构的基础上实现了基于网格的分布式数据挖掘过程。
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