数据挖掘和知识发现 meaning in English
data mining and knowledge discovery
Examples
- 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。