数据挖掘和知识发现的英文

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英文翻译
造句

data mining and knowledge discovery

数据 data; record; information
挖掘 excavate; unearth; dig; tap; ...
和 mix; blend
知识 knowledge; know-how; science
发现 find; discover
数据挖掘和知识管理 msc data mining and knowledge management
知识发现和数据挖掘 knowledge discovery and data mining
数据挖掘与知识发现的方法与实例 data mining and knowledge discovery methods with case examples
数据挖掘和可视化 data mining and visualisation
数据库知识发现 knowledge discovery in database, kdd
知识发现 dmkd; kd knowledge discovery; kdd，knowledge discovery in database; knowledge discovery in databases
数据发掘与知识发现 data mining and knowledge discovery
数据库中的知识发现 kdd knowledge discovery in database; knowledge discovery in database
和数据挖掘 data mining
数据挖掘 dm data mining; kdd ontology
【计算机】数据挖掘。 data mining
数据挖掘工具 data mining tools
数据挖掘技术 data mining
智能数据挖掘 intelligent data mining
数据挖掘扩展插件 dmx
基于知识库的知识发现 kdk
数据融合与数据挖掘 data fusion and mining methods
基于知识发现的广义诊断型专家系统 eskd
数据挖掘及其在医学中的应用 data mining and its application in medical science
爱和知识 love and knowledge so far as they were possible led upward toward the heavens

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例句与用法

On spatial data mining and knowledge discovery
论空间数据挖掘和知识发现
Technique methods of data mining and kdd
数据挖掘和知识发现的技术方法
Data mining and knowledge discovery in databases is a new technology for drawing knowledge from data
数据挖掘和知识发现是从数据中获取知识的一种新技术。
Data mining provides us with a new way to resolve the problem that we cannot make best of increasing huge data
数据挖掘和知识发现为解决信息量过大而人们无法有效利用的问题提供了新的解决途径。
Association rules mining is an important technique in data mining and kdd , but some problems exist in the association riles mining based on support and confidence
摘要关联规则挖掘是数据挖掘和知识发现中一门重要技术，但基于支持度置信度框架的关联规则挖掘存在一些问题。
Hence the people start considering “ how to discover useful knowledge and how to boost information utilization ? ” face to this challenge , the data mining and knowledge discover technique emerges , and displays the strong vitality
于是人们开始考虑: “如何才能不被信息淹没,而是从中及时发现有用的知识、提高信息利用率? ”面对这一挑战,数据挖掘和知识发现技术应运而生,并显示出强大的生命力。
After the users input control tasks in three modes : natural language , electric sheet or flow char , the computer will receive the information of control demands by data mining and knowledge discovery . and then illation is leaded to select the hardware and program the software in the inner of the computer . afterward , control program is transformed in the file format of exiting simulation software by using the simulation interface and is opened in the simulation software
用户只需在pc机上以自然语言或绘制控制流程图、填写表格的方式输入控制任务，然后在系统内部经过数据挖掘和知识发现分析得到可用控制要求信息，并自动引导推理求解过程进行硬件选型和生成相应的控制程序，最后利用仿真接口，自动将控制程序转化为现有的控制仿真软件的文件格式，并在控制仿真软件中，从而用户可以对生成的控制系统进行仿真，检查设计的正确性。
Today , the main data source of data mining is historical databases which mainly include text and numerical data . the data mining on multimedia data on www , specially , image and video , lacks enough research . this paper discussed some basal problems about multimedia , including definition , theories and technologies that multimedia data mining needs , system structure and model
本文首先简单阐述了数据挖掘和知识发现的基本理论；然后分析了网络信息检索与挖掘的特征，特别是web数据挖掘和基于内容的多媒体检索；进而探讨了www上基于内容的多媒体数据挖掘的一系列基本问题，包括定义、挖掘对象的特征与分类、挖掘和发现所需的理论和技术以及系统的框架结构和功能模块的分析与设计等，力图为该方向的深入研究提供一些有益的思路。
It is very urgent for people to transform them into useful information and knowledge , and apply them in business administration , production control and forecasting , etc . as a kind of technology for extracting information from large quantity of data , data mining and knowledge discovery has become a significant research problem which has important theoretical and practical values , and attracts widely attention in international academe
世界进入信息时代，在各个领域存在大量数据，人们迫切需要将它们转换成有用的信息和知识，以应用于商务管理、生产控制和预测等方面。数据挖掘和知识发现作为从海量数据中提取信息的一种技术，已经成为当前一个具有重要理论和应用价值的研究课题，在国际学术界引起了广泛关注。