- 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
下载手机词典可随时随地查词查翻译
data mining tools中文什么意思
- 数据挖掘工具
下载手机词典可随时随地查词查翻译
例句与用法
- 更多例句： 上一页 下一页
- We put forward a product conceptual design model based on data mining tool , and explore the product function design and mapping of function and structure based on data mining technology
摘要提出了基于数据挖掘工具的产品概念设计模型，探讨了产品功能设计和基于数据挖掘技术的功能结构映射。 - In general , this thesis is based on the basic theory and technology of cluster analysis in data mining tool , puts forward some new viewpoint and algorithm designing notation and attempts to discuss in theory and practice , combining the present practical application
概括而言，本文以数据挖掘工具中聚类分析的一般理论和技术为基石，结合目前实际应用，提出了一些新的观点及算法设计思路，并试图在理论和实践两方面作出论述。 - Relative to separate data mining tool , data mining integration system is economical and believable . now , the problem is how to integrate the application for data mining , while different companies " information systems have different interface , framework and software edition
对于拥有分布式数据库的大型企业而言， 2中所提到的问题都可以解决，因为企业所使用的it系统可以事先制定统一的接口、架构、版本，一切问题似乎都解决了。 - First , the current situation of the international and domestic customer segmentation was elaborated , and the features and shortcomings of the present mainstream data mining tools were described . according to the telecom industry ’ s huge amount data and high multi - dimension , the principle of k - means was elaborated , the optimization of the initial value and the improvement of running efficiency were considered as the key points of the algorithm innovation
结合电信领域的海量数据及数据高维度特点,重点阐述了直接k - means算法的设计思想,确定了以优化初值和提高执行效率作为算法改进的关键点,提出了适合于通信行业客户细分的k - m - d算法思想,并完成该算法的详细设计。 - 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
由于www资源的爆炸性增长，对于已经把web转化为关键发展工具的电子商务来说，运用数据挖掘技术获取用户的访问模式对于电子商务网站的生存发展是十分有益的。