Description: 本代码是用java语言编写的基于决策树c4.5算法的数据挖掘程序，它可以在很多领域如股票系统中使用 -the code is written in java-based Decision Tree Algorithm Bank data mining process, it can in many areas such as the use of the stock system Platform: |
Size: 232201 |
Author:飞翔 |
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Description: 本代码是用java语言编写的基于决策树c4.5算法的数据挖掘程序，它可以在很多领域如股票系统中使用 -the code is written in java-based Decision Tree Algorithm Bank data mining process, it can in many areas such as the use of the stock system Platform: |
Size: 231424 |
Author:飞翔 |
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Description: 这是数据挖掘分类算法中的C4.5算法的C实现版本，为Linux下的，希望对大家有所帮助。-This is the classification of data mining algorithms to the C4.5 algorithm to achieve the C version of Linux. We want to help. Platform: |
Size: 160768 |
Author:cnjn |
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Description: ID3+C4.5的源程序。用于数据挖掘决策算法的一个实例。-ID3 C4.5 of the source. Data Mining for a decision algorithm examples. Platform: |
Size: 5120 |
Author:张飞 |
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Description: 分类知识的获取是数据挖掘要实现的重要任务之一，其核心问题是解决分类模型的构造和分类算法实现。本文以决策树分类方法中有代表性的方法C4．5为例，介绍数据挖掘中一种分类方法一决策树分类方法及其构建和应用研究。-Classification of knowledge acquisition is a data mining in order to achieve one of the important tasks, the core of the problem is classification model to solve the structure and classification algorithm. In this paper, decision tree classification method C4.5 has representation as an example, the introduction of data mining in a classification of one decision tree classification method and its building and applied research. Platform: |
Size: 177152 |
Author:梁旭 |
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Description: This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
are among the most influential data mining algorithms in the research community.With each
algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and
reviewcurrent and further research on the algorithm. These 10 algorithms cover classification, Platform: |
Size: 622592 |
Author:sukmawati |
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Description: This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
are among the most influential data mining algorithms in the research community.With each
algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and
reviewcurrent and further research on the algorithm. These 10 algorithms cover classification Platform: |
Size: 635904 |
Author:ParisM |
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Description: 数据挖掘课中的一个算法c4.5决策树源码，只要有相应的测试文件就可以了-Data mining courses in a decision tree algorithm c4.5 source code, as long as the corresponding test file on it Platform: |
Size: 140288 |
Author:王俊杰 |
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Description: C4.5源代码,为数据挖掘中的C4.5的详细源代码，可以生成决策树-C4.5 source code, as in the C4.5 data mining details the source code, you can generate decision trees Platform: |
Size: 5120 |
Author:joyna |
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Description: 資料挖掘的五個最熱門演算法,包括adaboost,C4.5,CART,ID3,Fuzzy_k means等.-The most popular five algrithms applied in
Data mining Platform: |
Size: 354304 |
Author:scott |
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Description: （经典聚类算法）
国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法：C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
不仅仅是选中的十大算法，其实参加评选的18种算法，实际上随便拿出一种来都可以称得上是经典算法，它们在数据挖掘领域都产生了极为深远的影响。-(Classical clustering algorithm)
International authoritative academic organization of the IEEE International Conference on Data Mining (ICDM) in December 2006 selected the top ten of the field of data mining algorithm: the C4.5, k-Means, SVM, of Apriori, the EM, the PageRank, AdaBoost, kNN , the Naive Bayes, and the CART.
Not just the selected 10 algorithms, in fact, participate in the selection of 18 kinds of algorithms, in fact, easily come up with one can be called a classical algorithm in the field of data mining, they have had far-reaching impact. Platform: |
Size: 3922944 |
Author:赵鑫维 |
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Description: 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5,k-Means, SVM,
Apriori, EM, PageRank, AdaBoost,kNN, Naive Bayes, and CART. These top 10 algorithms
are among the most influential data mining algorithms in the research community. With each
algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and
review current and further research on the algorithm. These 10 algorithms cover classification, Platform: |
Size: 633856 |
Author:andyzygg |
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Description: C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法。它的目标是监督学习：给定一个数据集，其中的每一个元组都能用一组属性值来描述，每一个元组属于一个互斥的类别中的某一类。C4.5的目标是通过学习，找到一个从属性值到类别的映射关系，并且这个映射能用于对新的类别未知的实体进行分类。-C4.5 is used in a series of machine learning and data mining algorithms for classification problems. Platform: |
Size: 80896 |
Author:吕俊涛 |
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Description: It is C4.5 algorithm written in java. C4.5 is one of the decision tree algorithms in data mining. Platform: |
Size: 6144 |
Author:Pixy Yuki |
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Description: 数据挖掘matlab源码,包含机器学习领域中经典算法如ID3,C4 5,NN,CARD,EM等(Data mining matlab source code, including the classical algorithms in the field of machine learning, such as ID3,C4 5 NNNCARDUM, etc.) Platform: |
Size: 665600 |
Author:vidao |
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