大量的知识、决策制定，和问题解决能力是基于我们在多变事物之中发现行为模式的能力。
Much of our knowledge, decision-making, and problem-solving capacity is based on our ability to spot behavioral patterns among co-varying things.
我还发现模式是一个非常有用的学习工具，特别是在学习那些更基础知识的时候。
I also find that patterns can be useful learning tools, especially the more foundational ones.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
结合地震预报的领域知识，面向具体的应用，提出了一种改进的基于滑动时间窗口的序贯模式挖掘算法，用来发现广义的地震序列。
An improved sequential pattern mining algorithm is proposed, which is based on sliding time window and can discover general earthquake sequences according to field knowledge.
既然你知道了你个人的学习模式，诀窍就是去发现如何利用你新发现的知识来帮助你的功课。
So now that you know your personal learning style, the trick is to find out how to use your new-found knowledge to help you in class.
为了提高系统的运行效率，本文还对系统使用的设计模式进行优化，从而达到了有效利用知识发现技术进行客户资料分析的目的。
To improve the efficiently of the system, design patterns are used to optimize system's performance, so the target of mining the customer information by KDD technology is realized.
时间序列相似性模式搜索是营销时间序列数据仓库中知识发现领域的一个研究热点。
The similarity pattern query about time series is one of the research hotspots in knowledge discovering in the time series database.
粗糙集理论被广泛应用于人工智能、模式识别、数据挖掘和知识发现等领域。
Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields.
数据挖掘(DM)就是从大型数据集中抽取知识，其目的是发现深藏在一般数据之中的有用模式。
Data mining (DM) is to extract knowledge from huge datasets, the purpose of which is to find the useful patterns hidden behind the data.
数据库中知识发现是从数据中识别出有效的、新颖的、潜在有用的乃至最终可理解的模式的非平凡过程。
Knowledge discovery in database can be define as identifying the effective, original, potential and something that ultimately can be understood as the mode of out of common process.
数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程。
Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set.
所谓数据挖掘技术就是通过对现实问题进行有效的模式提取，从大量的数据中发现隐藏于其后的规律或数据间的关系，从而分析、提取有用的知识，服务于管理决策。
Data mining picks up the practical issue with effective mode, finds the hiding rule from the abundant data, analyses and gets useful knowledge, serves for the decision-making.
知识发现是从数据集中识别出有效的、新颖的、潜在有用的，以及最终可理解的模式的非平凡过程。
Knowledge Discovery is the non-trivial process that distinguish effective, innovative and potentially useful, and ultimately understandable pattern from the amount of data.
而概念格正是从数据中进行概念发现的有力工具，用来发现数据中隐藏的知识模式。
Concept lattice is a powerful tool for concept discovery from data, used to extract hidden knowledge pattern in data.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取具有潜在应用价值的知识或模式。
Data mining, referred to as knowledge discovery in databases, is the extraction of patterns representing valuable knowledge implicitly stored in large databases or data warehouses.
解释和评估模式是知识发现过程中的一个重要步骤。
It is an important step to interpret and evaluate the data mining results (patterns) in the process of knowledge discovery.
数据开采是利用现代统计学知识和计算知识从大型数据库中发现潜在的有用模式的学科。
Data mining can be regarded as a collection of methods for discovery useful pattern from large databases.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
本文提出一个利用关联规则技术从粗糙集中发现知识的算法，该算法挖掘出的模式具有较高的精确度。
In this paper we propose an algorithm which can mining quantitative association rules in rough set. The pattern mined by this method has high precision.
遗漏相关属性或留下不相关属性，会导致知识发现的模式质量很差。
Omission of relevant attributes will lead to poor quality of the model.
知识发现就是从大量的数据中抽取以前未知并具有潜在可用的模式，数据挖掘则是组成知识发现过程的重要环节。
Knowledge discovery is to abstract the previously unknown and potentially useful models from a large amount of data, and data mining is an important component in the procedure of knowledge discovery.
数据挖掘可以称为数据库中的知识发现，它是从大量数据中发现并提取隐藏在其中的可信的、新颖的、有效的并能被人理解的模式的高级处理过程。
The data mining is also called the knowledge discovery in database, which discovers from large quantity of data and find authentic, novel and effective model that can be comprehended by people.
电信网络是一种典型的社会网络，通过社会网络分析进行模式挖掘与分析可以更好地发现信息和知识。
Telecom network is a typical social network, and using social network analysis method to detect and analyze the telecom network can help us obtain information and knowledge more accurately.
电信网络是一种典型的社会网络，通过社会网络分析进行模式挖掘与分析可以更好地发现信息和知识。
Telecom network is a typical social network, and using social network analysis method to detect and analyze the telecom network can help us obtain information and knowledge more accurately.
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