挖掘模型

  • 网络mining model;data mining model
挖掘模型挖掘模型
  1. 基于WEB的数据挖掘模型

    Data mining model based on WEB

  2. 一种Web使用模式挖掘模型的设计

    Design for Web Usage Mining Model

  3. 广义Web内容挖掘模型算法

    Models and algorithms for Web content mining in broad sense

  4. 一种基于自然语言理解的Web挖掘模型

    A model of Web mining based on nature language understanding

  5. 一种分布式Web使用模式挖掘模型及算法

    Construction and algorithms of distributed web usage pattern mining

  6. 给出了一种分布式Web日志挖掘模型DWLMS。

    A distributed Web log mining system model ( DWLMS ) is presented .

  7. 基于贝叶斯网络的Web访问模式挖掘模型系统

    A system model based on Bayesian network

  8. 基于Agent技术的数据挖掘模型研究

    Research on Data-mining Model Based on Agent Technology

  9. 基于分布式的WebLog挖掘模型

    A log mining model based on Distributed Web servers

  10. 统一事件Web挖掘模型

    Unified Events Web Mining Model

  11. 一个好的挖掘模型是Web使用信息挖掘成功的关键。

    A good model of web mining is the key to the success of web usage mining .

  12. 基于Multi-agent技术的Web文本挖掘模型及应用

    Model of Web Text Mining System Based on Multi-agent Technology and Application

  13. 基于XML的Web数据挖掘模型的探讨

    The XML-based Web Data Mining Model

  14. 城市地下管网GIS中的空间数据挖掘模型设计

    Design of model of spatial data mining in GIS of city underground pipelines

  15. 抽象的Web挖掘模型可以提取出语义Web中隐藏在大量信息背后的近似概念,来实现知识发现。

    The abstract Web mining model can extract approximate concepts hidden in a large amount of information on the semantic Web for knowledge discovery .

  16. 将改进的算法运用在基于XML的Web文本挖掘模型中,验证了其可行性及有效性。

    The improved algorithms will be used in Web text mining model based on XML and its feasibility and validity will be verified .

  17. 基于漏洞特征和Fuzz技术的Windows漏洞挖掘模型研究

    Vulnerability mining model for Windows based on vulnerability characteristics and Fuzz technology

  18. 它表明挖掘模型将当前病人归为哪种类型,将患上(y)还是不会患上(n)这种病。

    It states whether the mining model classifies the current patient as someone who will suffer the disease ( y ) or not ( n ) .

  19. 剖析了其它一些分布式计算模型的优缺点,在此基础上提出了一个基于移动Agent的分布式数据挖掘模型。

    The merits and drawbacks of other distributed computing models were analyzed , and on this basis , a distributed data mining model based on mobile agent was proposed .

  20. 基于改进的Apriori算法和遗传算法的数据挖掘模型

    Data Mining Model Based on the Improvement of Apriori Algorithm and Genetic Algorithm

  21. 基于知识库的Web文本挖掘模型K-WebMiner

    K-WebMiner : A Web Text Mining Model Based on Knowledge Base

  22. 基于FP增长挖掘模型的全社会行业用电关联规则分析

    Association Rules Analysis in Electric Marketing Based on the FP-growth Data Mining Algorithm

  23. 本文的研究重点是Globus环境下的分布式数据挖掘模型。

    This article mainly focused on Distributed Data Mining based on Globus environment .

  24. 在寻找用户最大频繁访问路径方面,传统的Web使用挖掘模型大多都只考虑网页的距离而忽视结构层次,致使数据挖掘精度不高,达不到满意的Web挖掘效果。

    Conventional Web mining models for user most frequent navigation patterns almost only consider the distance between pages and ignore the structure of the Web site , so they can 't do data mining accurately .

  25. 通过对5类模型的仿真测试结果比较,证明数据挖掘模型潜在知识发现的重要意义,并对4类模型中RS的应用机理和性能作出全面的评估。

    Furthermore , comparisons of simulation results among the five kinds of models prove the significance of DM 's discovery in hidden knowledge .

  26. 分别基于关系数据库和OLAP数据库建立微软聚集数据挖掘模型和微软决策树数据挖掘模型。

    Some Microsoft Clustering Algorithm and MDT Data Mining Models are created base on relational database and OLAP database .

  27. 我们会将输入参数添加到这个存储过程以便之后在CognosReport内设置,我们还要参数化所创建的这个挖掘模型。

    We will add input parameters to the stored procedure that can later be set in the Cognos Report and will parametrize the created mining model .

  28. 在本文中,我们还会更进一步,利用InfoSphereWarehouseMiningSQLAPI在参数化了的存储过程内动态创建一个挖掘模型。

    In this article , go one step further and create a mining model dynamically in a parametrized stored procedure using the InfoSphere Warehouse Mining SQL API .

  29. 一种基于文档建模的DWG文件的数据挖掘模型

    A Model of Document Modeling-based Data Mining from DWG Files

  30. OLEDBforDataMining以表的形式表达数据挖掘模型对象,而且也提供一种类似SQL的DDL使开发者能更好地建立数据挖掘应用。本文给出了一个关于运用SqlServer2000构建数据挖掘应用的实例。

    Mining Model is expressed with forms by OLE DB for data mining , and a new SQL-like DDL leverages developers to build data mining applications using SQL Server 2000 .