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- Data mining tools yield five types of information. 数据开采工具得到五类信息。
- 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。
- The design and implementation of MSMiner, a general multistrategy data mining tool, is proposed in this paper. 介绍了一种多策略通用数据采掘工具 MSMiner的设计与实现 .
- Methods: Rough set was used as data mining tool for extracting the potential diagnostic rules of TCM gastropathy. 方法:采用粗糙集合作为数据挖掘工具,提取中医胃病诊疗信息潜在的诊断规则。
- The paper does some tests about data mining on WEKA which is an open source data mining tool,and analyzes the test results and indicates the problems of the WEKA system. 摘要 在开源数据挖掘平台WEKA上进行了挖掘测试和分析,并分析了其存在的主要问题。
- Based on the feature of Grey System model,we apply the GM(1,1) model to data preprocess and the method of gray relation to the data analysis as a data mining tool. 根据灰色系统模型的特点,将灰色GM(1,1)模型应用于数据的预处理,把灰关联作为一种直接的数据挖掘工具对数据进行关联分析,结合GM(1,1)模型和灰关联,给出一个完整的数据挖掘算法。
- Vie design data mining tools based on three level structure of Clientj Server. 本文设计了一个基于C/S结构的数据采掘工具。 该工具采掘的数据源是银行卡系统的业务数据。
- A rule based data mining kit AMINER is introduced. It aims at strengthening the expressive ability of knowledge expression, and forming a practical data mining tool, which is applicable to a variety of application fields. 介绍了一个规则型数据采掘工具集AMINER ,其目标是增强知识表达的能力 ,并形成一个实用的数据采掘工具 ,使其能适用于多种不同的应用领域。
- 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。
- Data mining tools traditionally have been used in scientific and engineering settings but are becoming more common in business environments. 传统上,数据开采工具是用于科学与工程环境,但现在越来越多地用于商业环境。
- The most popular data mining tools use an underlying technology called neural network. 多数流行的数据开采工具采用一种叫神经网络的基础技术。
- The confusion matrix and mathematical programming model are used to assess the classification data mining tools for its value. 利用马尔可夫转移概率矩阵与数学规划模型对分类型数据挖掘工具进行价值评估,确定分类型数据挖掘工具带来的价值;
- The distribution density function and information entropy are used to assess the forecasting data mining tools for its value. 利用分布密度函数和信息熵对预测型数据挖掘工具进行价值评估,确定预测型数据挖掘带来的价值;
- The knowledge and rule discovered by data mining tools are useful information for the analysis and selection of Objective market. 并利用数据挖掘工具,发现隐藏在庞杂信息源中的知识和规律,为目标市场的分析与选择提供有价值的参考信息。
- The research object of this paper is developing data mining tools of intellectualized BCDAAS , for provicing important tools of data warehouse and decision surpportment. 本文研究的目标是开发一个能适用于智能化银行卡系统的数据采掘工具,作为数据仓库的重要工具,为决策提供支持。
- This paper mainly generalizes the definition of data mining and introduces the steps of knowledge discovery in bio-data. Also discuss the potential application in bioinformatics and the development and application of data mining tools in bioinformatics. 文中介绍了数据挖掘的概念、生物数据的挖掘步骤,初步探讨了数据挖掘在生物信息领域的应用潜力及生物信息学挖掘工具的开发和应用。
- Data mining provide good technology supportment for decision support system, and data mining tools can directly mining in large database for discovering potential knowledge in database. 数据采掘工具将为决策支持系统开发提供良好的技术支持,并且数据采掘工具还可以对现有的大型数据库直接Mining,以发现数据库中潜在的知识。
- Design and Implementation of an Intelligent Data Mining Tool 智能型数据挖掘工具的设计与实现
- Data mining is to extract knowledge from information. 资料开采是从各种资讯中获得知识。
- Research of Mechanical Product Conceptual Design Based on Data Mining Tool 基于数据挖掘工具的机械产品概念设计研究