data mining tools造句
例句与造句
- Using the data mining tools
使用数据挖掘工具 - The implementation and application of data mining tool based on association rules
基于关联规则的数据挖掘系统实现及应用 - Data mining tools including wizards , editors , query builders , lift chart
数据挖掘工具（包括向导、编辑器、查询生成器、提升图） - But only a data mining tool could program every step in the manufacturing process
但是只有数据开采工具能对制造工艺中的每一步进行编程。 - Specialized data mining tools containing intelligent agents are used to perform these tasks
专业的数据挖掘功能包括用来实施该任务的智能代理。 - It's difficult to find data mining tools in a sentence. 用data mining tools造句挺难的
- As a result of these work , a data mining tools based on association rules , arminer , is introduced
这些工作的结晶就是一个基于关联规则的数据挖掘工具arminer 。 - Most knowledge discovery or data mining tools and techniques are based on statistics , machine learning , pattern recognition or artificial neural networks
大多数的知识发现或数据挖掘工具和技术是基于传统的统计、机器学习、模式识别或人工神经网络。 - Hence , they are frequently failed to deal with some realistic problems . this dissertation introduces a different data mining tool , self - organising data mining ( sodm )
作为股票市场数据分析的常用方法,传统计量经济学在模型的设定和假设条件上存在着局限。 - This section provides information about how to work with the data mining tools in data mining designer in microsoft sql server 2005 analysis services ssas
本节提供了有关如何使用microsoft sql server 2005 analysis services ( ssas )的数据挖掘设计器中的数据挖掘工具的信息。 - The massive amount of high - throughput microarray , snps and other biological data bring a great challenge of developing advanced statistical and computational data mining tools
大量的高产能微阵列、单点核苷酸多型性及其他生物资料也对高级统计计算之资料探勘工具产生极大的挑战。 - 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。
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