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92
- 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
C45Driver
- c45决策树改进算法，主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
fp-tree改进算法
- 一个好用的数据挖掘算法，有感兴趣的朋友常联系了。-a user-friendly data mining algorithms, often friends interested in the link.
see5-public
- 数据挖掘中的决策树生成的经典的see5软件的源代码。-Data Mining Tree Generation classic see5 the software's source code.
decision-making-tree-algorithm
- One kind of decision-making tree algorithm, can be seen as one kind data mining algorithm ,find the rule from large-scale data middle.
C4_5.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
FP-TREE
- FP-TREE算法，非常经典的数据挖掘算法，学习数据挖掘的好例子-FP-TREE algorithm, a very classic data mining algorithms, data mining study a good example of
shujuwajuesuanfa
- 基于数据挖掘的决策树改进算法和贝叶斯改进算法，很有用的-Based on data mining and Bayesian Decision Tree Algorithm to improve the algorithm, very useful
data-dig
- 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法, 决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Baye
fp_tree
- 用C语言实现的数据仓库中的数据挖掘算法的一段代码 带有详细的注释-Using C language in the data warehouse data mining algorithms with a detailed section of code Notes
fp_tree
- 数据挖掘的树结构下C加加的源代码，在商业上很有应用价值。-Data Mining the tree structure of simple C source code, useful in commercial applications.
fp_tree
- 关于数据挖掘算法的一些实例，希望能帮助大家学习 -Data mining algorithms on a number of examples and I hope to help them to learn
jieceshu
- 有关人工智能，数据挖掘中的决策树算法的实现包括相关的测试数据-On artificial intelligence, data mining, decision tree algorithm in the implementation, including relevant test data
ID3
- 此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest-This code is a decision tree data mining of various algorithms. Getting Started as a prompt-this code is a decision tree data mining algorithms. As
knnsearch
- 寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially
6
- 基于FP-Tree 的最大频繁项目集挖掘及更新算法，这是在美国任教的韩佳伟教授发明的数据挖掘算法，非常经典，值得下载下来研究-FP-Tree based on the maximum frequent itemsets and updating algorithm, which is taught in the United States invented by Professor Han Jiawei data mining algorithms, very classic, worthy o
decision-tree
- 决策树算法是利用最广泛的 数据挖掘算法之一-The decision tree algorithm is the most widely used data mining algorithms, one of...
fp-tree
- 数据挖掘中的频繁项集的算法fp-tr-Frequent itemset data mining algorithm fp-tree
tree
- 数据挖掘-决策树-c4.5算法的java代码实现-Data Mining- Decision Tree algorithm java code-c4.5
sklearn-tree-BN-knn
- 分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the dat