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TheStudyofDecisionTreeClassifyingMethodinDataminin
- 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。
10Algorithms-08
- 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
DTC4.5-Src
- The C4.5 system consists of four principal programs: 1) the decision tree generator ( c4.5 ), 2) the production rule generator ( c4.5rules ), 3) the decision tree interpreter ( consult ), and 4) the production rule interpreter ( consul
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述,包括Decision Tree(ID3、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法),三种典型贝叶斯分类器(朴素贝叶斯算法、TAN算法、贝叶斯网络分类器),k-近邻 、 基于数据库技术的分类算法( MIND算法、GAC-RDB算法),基于关联规则(CBA:Classification Based on Association Rule)的分类(Apriori算法),支持向量机分类,基于软计算的分类方法(粗糙集(rough set)、遗传
c4.5-code
- This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
KCB-AKHR
- Kecerdasan buatan decision tree untuk menentukan masa studi mahasiswa menggunakan algoritma c4.5