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tree algorithm中文是什么意思

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  • Thirdly , dm technology is organized into method space . it presents the enhancement to id3 decision tree algorithm , which combined with information gain and property probability . the algorithm is putted into useage of customer member card
    将dm方法用于方法空间的设计,对传统的id3决策树算法进行改进,将信息增益的计算方式与属性值的概率相结合,使其更具针对性。
  • For example , you can use the microsoft decision trees algorithm not only for prediction , but also as a way to reduce the number of columns in a dataset , because the decision tree can identify columns that do not affect the final mining model
    例如,您不仅可以将microsoft决策数算法用于预测,而且还可以将它用作一种减少数据集的列数的方法,因为决策树能够识别出不影响最终挖掘模型的列。
  • Decision tree algorithm is one of the core technique algorithm of dm , it is often used to predict models , and it can divide amount of data into different types purposefully , so that it can let others find out some valuable and potential information
    决策树方法是dm的核心技术算法之一,它是一种常用于预测模型的算法,它通过将大量数据有目的地分类,从中找到一些具有商业价值的、潜在的信息。
  • ( 3 ) on the basis of the dimensioning principle of correctness , integrality , clearness and rationality , utilizing the modified spanning tree algorithm in graph theory to ascertain the non - functional dimensions , accomplish the dimensioning mode analysis of the part
    ( 3 )根据尺寸标注所要求的正确性、完整性、清晰性及合理性等原则,用改进了的图论中的生成树算法,确定出零件的非功能尺寸,完成零件尺寸标注模式的分析。
  • 3 discusses the foreground of dataming technique using in traditonal enterprise . research the the development techinque based on sqlserver and decision tree algorithm . then takes the equipment maintain system as an example , develops the maintain prediction module based on decision tree algorithm
    3探索了数据挖掘技术在化工生产型企业应用的可能,以设备维修管理中的一个选题为例,深入介绍了基于sqlserver数据挖掘开发方法,以及决策树算法。
  • 3 . through the study on decision tree c4 . 5 algorithm , taking criminal ' s information database , we use c4 . 5 decision tree algorithm to generate a decision tree , and use post - pruning method to pruning the decision tree . and then according to the decision tree , we obtain the classification rules finally
    ( 3 )通过对决策树c4 . 5算法的研究,以罪犯信息库为例,使用c4 . 5决策树算法生成决策树,并利用事后修剪法对决策树进行修剪;最后由决策树产生分类规则。
  • In the paper , we have built the binary tree , m - branch tree and tree algorithms based on the test data . what is more , the cluster results have improved obviously after we have developed these algorithms , namely , we have thought over the density information of the data during the course
    并在对实验数据分析的基础上,分别对已建立的二叉树、 m叉树和树的方法加以改进,即在建立上述模型的过程中充分考虑到数据分布的密度信息,使得聚类效果有了进一步的提高。
  • A new architecture of the dss based on dw is proposed by author , added by olap and dm decision tree algorithm . at last , a foodmart dss is designed and developed by means of the new architecture and new technology . the main contents of paper are as followings : firstly , it analyzes the new architecture of dss based on dw
    本文在分析了传统dss的不足和缺陷后,引入数据仓库及相关技术,对基于数据仓库的dss的体系结构作了研究和探讨,用olap对dss用户空间作了改进设计,用dm中的决策树算法改进了dss的方法空间,最后,以食品销售决策支持系统为例,对基于数据仓库的决策支持系统的实现问题作了尝试, ,有效地改进了dss的分析效率和质量。
  • This paper also describes how to establish a distributed enterprise application by the example of using j2ee model to establish zxmec ( zx medical e - commerce ) . then with the guidance of general process model , we have completed bid - interesting analysis of zxmec and realized two decision tree algorithms
    本文还以构建基于j2ee模型的振湘电子商务系统( zxmec )为例,描述了如何建立分布式的企业级应用,并在通用过程模型的指导下,在振湘电子商务系统中进行了招标兴趣度分析,实现了两种决策树算法id3和c4 . 5 。
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Last modified time:Mon, 11 Aug 2025 00:29:56 GMT

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