数据挖掘工具

  • 网络Data Mining Tools;weka
数据挖掘工具数据挖掘工具
  1. 基于Web的可视化数据挖掘工具综述

    On Visual Data Mining Tools Based on Web

  2. 最后应用SqlServer的数据挖掘工具对其进行实现,从而形成一个全新的带分析功能的学生成绩管理系统。

    Finally the SQL Server data mining tools for their implementation , to form a new band analysis of student achievement management system .

  3. 基于CORBA的Web数据挖掘工具的设计及应用

    Corba-based Project for Web Mining Technology and Designing of the Tools

  4. 独立开发了HLA结果数据库管理工具HLA-DATABASE,并与他人协同设计了基于支持向量机的数据挖掘工具。

    The HLA result database management tool HLA-DATABSE is independently developed . And the SVM based data mining tool is designed with the cooperation of others .

  5. 数据挖掘工具Weka的二次开发。

    Second developing of data mining tool Weka .

  6. 第三,引入了一个数据挖掘工具RoughSet理论,详细阐述了从信息表知识表达系统建立,到决策表离散化,决策表属性约简,直至决策规则生成的一系列过程。

    Thirdly , Rough Set theory , a tool of data mining is imported . A series of processing from establishment of information expression system , dispersion and reduction of decision table to creation of decision rules are elaborated .

  7. OLAP与数据挖掘工具由于内在技术以及适用范围的不同,在决策分析中必须协调使用才能发挥最佳的作用。

    To make the best use of the capabilities of OLAP and data mining tools in the decision analysis , a unified framework should be constructed .

  8. 同时,结合数据挖掘工具weka证明,在不断对贝叶斯分类进行动态调整之后可使分类结果达到最优。

    Meanwhile , the combination of data mining tools that weka , constantly on the Bayesian classifier can be dynamically adjusted to achieve optimal classification results .

  9. BN作为一种数据挖掘工具对案例库进行学习获得诊断属性间存在的潜在关联知识,将这些知识通过相似度评价函数反映到模型的案例检索过程中。

    BN as a data mining tool to study the knowledge of the potential relevance between the medicine properties about Patient , use this knowledge in the process of case retrieval through the Similarity Evaluation function .

  10. 本文对预言模型标记语言(PMML)进行了讨论,并给出了它在具体数据挖掘工具中的应用实例。

    This paper discusses the Predictive Model Markup Language ( PMML ), and gives some examples of its applications in specific data mining tools .

  11. 在对SAS提供的各种数据挖掘工具和方法比较之后,选择了适合本课题需要的方法应用于海关总署直属海关执法评估系统的开发项目中,并取得了满意的结果。

    After comparing all kinds of tools for data mining provided by SAS , we select methods adapt to the task , and all these algorithm is applied in the project of General Custom for customs directly under General Custom to execute the law and evaluate work .

  12. 基于数据挖掘工具的机械产品概念设计研究

    Research of Mechanical Product Conceptual Design Based on Data Mining Tool

  13. 神经网络数据挖掘工具用于剩余油分布研究

    Application of neural network data mining tool to researching remaining oil distribution

  14. 两类数据挖掘工具评估分析的定量化

    Quantitative of assessment of two kinds of data mining tools

  15. 基于组件的数据挖掘工具的研究与实现

    Research and Implementation of Data Mining Tool Based on Component

  16. 可视化数据挖掘工具的设计与实现

    The Design and Implementation of Visual Data Mining Tools

  17. 国外先进数据挖掘工具的比较分析

    Analysis and Comparison of Overseas Leading Data Mining Tools

  18. 数据挖掘工具和应用中的问题

    Tools & Methods ' Theories Summarizing of Data Mining

  19. 决策树是目前商业数据挖掘工具中使用最为广泛的算法。

    Decision tree is the most widely used algorithm in commercial data mining tools .

  20. 数据挖掘工具的分类与挖掘

    Classifying and Mining for Data Mining Tools

  21. 所有数据挖掘工具都遵循此目标。

    All data-mining tools follow this process .

  22. 数据挖掘工具的应用与标准化

    Application and Standardization of Data Mining Tools

  23. 空间数据挖掘工具浅谈

    A Survey of Data Mining Tools

  24. 对三种数据挖掘工具的比较

    Comparison of Three Data Mining Tools

  25. 数据挖掘工具的研究。

    Research Of data mining Tools .

  26. 使用数据挖掘工具进行数据分析可以方便的获得重要的数据模式并应用于决策。

    Data mining tools perform data analysis and may uncover important data patterns , contributing greatly to strategies .

  27. 知识发现及数据挖掘工具在处理海量数据库时显示了它们的长处。

    The knowledge discovery and data mining tool display their strong points in handling the great capacity database .

  28. 数据挖掘工具用于完成决策问题中的各种查询、数据分析和数据开采等。

    The tool of data mining is used to deal with problems by searching , data analysis and mining .

  29. 结果表明,该原型系统是一个适用的、可扩展的可视化交互空间数据挖掘工具。

    The result indicates that this prototype system is a practical and extensible visual interactive spatial data mining tool .

  30. 开发在药物研发过程中易于使用,且效率较高的化学、生物学数据挖掘工具,以帮助药物研发人员进行药物设计是必要的。

    It is essential to develop a data mining tool which can help the developer design the new drugs .