This essay is researching the Decision Tree Algorithm of Data Mining and the use in the Customer Drain analysis.
本文主要是研究数据挖掘中的决策树算法以及决策树算法在具体的小灵通流失分析中的研究与分析。
Main contents of the paper are summarized as following: 1 the essential principle of data mining was researched and several kinds of algorithm of data mining were given in this paper.
论文在探讨数据挖掘的一般理论的基础上，对数据挖掘中决策树算法进行了详细地介绍。
Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.
基于本体的关联规则挖掘，是利用构建好的领域本体，结合数据挖掘算法，产生出具有语义的更符合用户需求的关联规则。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
The algorithm makes use of the clustering technology of data mining, can apply to general radar and special radar.
这种算法利用了数据挖掘中的聚类技术，可用于常规雷达和特殊雷达的信号分选。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
属性约简是数据挖掘预处理中非常重要的一步，它通过减少信息的维数提高数据挖掘算法的效率。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
This thesis mainly discusses how to classify the potential customers with data mining algorithm and technology, by which there can be a correct orientation in the process of practical work.
本文主要讨论如何在信用卡一级代理过程中运用数据挖掘算法和技术对潜在客户进行分类，以便能在开展业务的过程中有所针对性。
Data mining adopts the improved ID3 algorithm and can meet the demand of load analysis and prediction.
数据挖掘采用改进ID 3算法，能够满足负荷分析和预测方面的要求。
The efficient data mining algorithm is the core of OLAM.
OLAM挖掘机制的核心是高效的数据挖掘算法。
Those are tightly associated with classification algorithm on the view of data mining.
从数据挖掘的观点来看，它们都与分类算法密切相关。
This article proposes a data sorting method via the EM algorithm, for the purpose of mining high-quality decisions by performing data reasoning in a database with incomplete, noisy and uncertain data.
针对存在不完整、含噪声和不确定数据的数据库，通过挖掘高质量的决策，对数据库的数据进行推理，提出了一种基于EM算法的数据清理方法。
It often needs one to sift through mountains of data which a typical mining tool has missed because of the assumptions made in writing the mining algorithm.
它往往需要一个筛选数据的群山一个典型的挖掘工具，已经错过了，因为在写挖掘算法作出的假设。
Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.
面对大规模的、高维的数据，如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。
The key link of CRM data mining, problems and algorithm on data pre-processing, was researched.
对CRM数据挖掘过程的关键环节——数据预处理存在问题和算法进行了研究。
Aiming to property feature of database in spatial data mining, mining algorithm based on binary is used to spatial data mining.
针对空间数据挖掘中数据库的属性特点，将基于二进制的挖掘算法应用于空间数据挖掘中。
It is a necessary part of data mining of data pretreatment that cleaning and inducing data and providing object data for classification algorithm.
数据预处理是数据挖掘中不可或缺的一部分，是对数据进行初步地清理和归纳，为分类算法提供目标数据。
The key idea of mining association rules for the basket data is studied and several methods to improve algorithm efficiency and rules selection are given.
对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。
As one of the kernel techniques in the data mining, it is necessary to summarize the research status of classification algorithm.
对数据挖掘中的核心技术分类算法的内容及其研究现状进行综述。
To overcome the defects of data representation algorithms in temporal data mining, segmentation algorithm of key-point-based error checking is proposed.
针对时序数据挖掘中常见数据表示算法的缺陷，提出了基于关键点的误差检验分段算法。
This thesis presents a data generalization algorithm based on data cube. The algorithm can clean the data for data mining and im-prove efficiency of data mining.
该文提出了一种基于数据立方体的数据泛化算法用于数据预处理，能够为数据挖掘提供良好的数据环境，提高数据挖掘的有效性。
This paper illustrates the basic concepts of data mining and in detail discusses the Algorithm C5 approach for data mining.
本文介绍了数据挖掘的基本概念，重点分析了决策树C5算法。
The paper describes the concepts and relationship of BI and data mining briefly, and introduces the popular data mining algorithm.
对商务智能、数据挖掘的概念和两者的关系做了简要的描述，并对当前流行的数据挖掘算法做了介绍。
The search space of Multi-relational data mining algorithm becomes larger and more complex.
多关系数据挖掘算法的搜索空间变得更大、更复杂。
Cluster analysis is a method of spatial data mining. Clustering algorithm can find some useful clustering structures directly from spatial data base.
聚类分析是空间数据挖掘的一种方法，聚类算法能从空间数据库中直接发现一些有用的聚类结构。
The third involves data experiment of mining algorithm on historical operating data of a 600mw unit for one month, and analysis of mining results under different conditions.
第三部分针对某600MW机组一个月的历史运行数据进行模式挖掘算法的数据实验，并分析了不同工况下的挖掘结果。
The third involves data experiment of mining algorithm on historical operating data of a 600mw unit for one month, and analysis of mining results under different conditions.
第三部分针对某600MW机组一个月的历史运行数据进行模式挖掘算法的数据实验，并分析了不同工况下的挖掘结果。
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