你可能会反对专业人士为了获取知识去挖掘，而不是金钱。
You might object that professionals excavate to acquire knowledge, not money.
本系统采用数据挖掘技术从已有的产品数据库、知识库和规则库中获取有用信息和知识以支持产品概念设计。
This system adopts data mining technique to obtain useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
采用数据挖掘技术从已有的产品的数据库、知识库、规则库中获取有用的信息和知识来有效地支持机械产品概念设计。
This system adopts data mining technique and obtains useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
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。
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.
本文分析了数据挖掘技术的相关领域及其基本问题，为知识获取提供了一种新方法。
In this paper, after making a analysis of the relate field of data mining and its basic questions, we provide a new method for knowledge discovery.
粗糙集作为数据挖掘方法的一种，是一种处理不精确或不完整信息的强有力数学工具，并且可以克服以往存在的知识获取瓶颈。
Rough set as a classify theory of data mining is a strong mathematic tool dealing with uncertainty and incompleteness, and it can overcome the difficulty in getting knowledge existed before.
数据挖掘是从海量数据中获取有效的、新颖的、潜在有用的知识，并最终形成可理解的模式的非平凡过程。
Data mining is a non-trivial process which is to obtain effective, novel and potentially useful knowledge from the mass of data and ultimately form understandable patterns.
利用数据挖掘技术能够从大规模的数据中获取正确的、有趣的、潜在有价值的知识。
Using data mining techniques can access to the correct, interesting and potentially valuable knowledge from the large-scale data.
传统获取信息的方式是从单数据集合挖掘知识，而忽略了多数据集合之间的合作影响。
The traditional means of getting information is mining knowledge from single data set, which neglects the inter-influences of multi-data sets.
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。
According to quantitative parameters mapping relation, heuristic knowledge acquisition strategy based on qualitative reasoning and data mining is proposed.
从某种意义上说，通过粗集理论挖掘出的分类规则是系统通过自学习机制而产生的，因而可以解决知识自动获取的瓶颈问题。
In a sense, rough sets is a kind of self-study mechanism, so we can solve the problem of knowledge obtained automatically by using rough sets.
文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。
Text mining is an effective means of detecting potentially useful knowledge from large text database.
数据挖掘技术的发生和发铺为从这些数据中获取有用知识提供了有力的工具。
But data mining technology offered good tool for gaining useful information from the data.
数据挖掘技术旨在从大量的数据中提炼出抽象的知识，揭示出蕴含在这些数据背后的客观规律，实现知识的自动获取。
Data mining methods aim to abstract some useful knowledge for a mass of data, and open out the objective rules behind these data.
数据挖掘为告警相关性分析中知识获取提供了新的途径。
Data mining provides a new approach of the knowledge updating during the alarm correlation analyzing.
传统关联规则挖掘算法往往受到数据类型、关联规则的实际意义等约束，大大限制了知识获取的能力。
Most traditional algorithms are constrained by many aspects of practice, such as data type, real-life significance and so on, which probably constrain the capacity of knowledge acquisition seriously.
而数据挖掘技术在未知知识获取方面具有独特的优势。
At the same time, Data mining has unique advantage in unknown knowledge acquisition.
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。
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.
数据挖掘是近年来数据库领域中出现的一个新兴研究热点，它是从大量数据中获取知识。
Data mining (DM) is a new hot research point in database area. Data mining gets knowledge from large quantity of data.
运用知识发现和数据挖掘的方法，可以自动获取知识。
Knowledge can be gained automatically by using knowledge discovery and data mining.
集成知识获取(即数据挖掘)的方法，使系统能够动态地建立各种领域知识。
Integrated with AI technology, system can set up design environment with field knowledge. 2. KDD knowledge discovery I...
集成知识获取(即数据挖掘)的方法，使系统能够动态地建立各种领域知识。
Integrated with AI technology, system can set up design environment with field knowledge. 2. KDD knowledge discovery I...
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