- 数据挖掘工具
- data mining: 【计算机】数据挖掘。
- tool: n. 1.工具，用具，器具；【机械工程】刀具；工具母机 ...
- reed mining tools inc: 里德采矿工具有限公司
- cemented carbide for coal-mining tools: 煤炭采掘工具用硬质合金制品
- data processing tools: 数据处理工具
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data mining tools中文什么意思
- 数据挖掘工具
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例句与用法
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- In chapter 4 , we give a new approach for inference risk evaluation , which uses the rough set theory in data mining technique to catch the possible inference channel in mls dbms . compared with other methods , the main advantages lie in that it does n ' t need the knowledge of sso ( system security officer ) and can use the current available data mining tools to monitor the database in time . 4
在总结已有的研究成果的基础上，利用数据挖掘技术中粗糙集（ roughset ）理论提出了一种对推理风险进行分析的量化方法，优点是不依赖于系统安全员的知识、能够处理确定性的和非确定性的推理通道的，利用相应工具，能够在数据库运行期间对推理风险进行监督。 - A extenic spatial data mining tool , is also developed , using the arcview , a gis software which is supported by the esri , for the purpose of the real - time debris flow danger degree zoning of the debris flow danger degree . user can interact with the system through this tool , and the result can also be visualized
作者首次将可拓工程方法与空间数据挖掘技术相结合，是对空间数据挖掘方法的丰富，所构建的可拓空间分类器，初步形成了对泥石流信息系统空间数据库进行深度挖掘和知识再发现、再表达能力。 - With the rapid increasement of data , the enterprises want to mine the knowledge behind the large amounts of data in order to support decision . some existing data mining tools such as intelligence miner , enterprise miner supply rich data mining functions , but these tools can ’ t mine distributed and heterogeneous data on internet / extranet , and they can ’ t integrate with operating system effectively and have no pertinences
现有的数据挖掘工具如ibm的intelligenceminer , sas的enterpriseminer虽然提供了较丰富的挖掘功能,但是这些工具不能够挖掘internet / extranet上的分布式和高度异质的数据,不能有效地与操作型系统集成,而且针对性不强。 - The current data mining research has transported its emphasis from the discovery method to system application gradually . it emphasis on discovering strategies based on multi - methods and the technology integration , as well as mutual seepage between different disciplines , the general data mining tool has no longer adapted the developing data mining application demand
当前数据挖掘研究重点逐渐从发现方法转向系统应用,注重多种发现策略和技术的集成,以及多种学科之间的相互渗透,一般的数据挖掘工具已经不再适应数据挖掘应用发展的需求。 - With the explosive growth of information sources on the world wide web ， it has become increasingly necessary for e - commerce companies ， who have transfer the web into the primary tool for its development ， to utilize data mining tools to find , extract and analyze user access patterns in their e - commerce websites , in this paper , we use the data mining technology on the web site to find user access patterns , and use user access patterns to improve web site ' s structure and content timely and satisfiy the users " need of personalization
由于web资源的爆炸性增长，对于已经把web转化为关键发展工具的信息网站（特别是电子商务网站）来说，运用数据挖掘技术获取用户的访问模式对于网站的生存是十分有利的。本文把数据挖掘技术应用于信息化网站，得到web用户访问模式，并利用用户访问模式及时地对网站的内容和结构进行完善和改进，以满足用户的个性化需求。