搜索资源列表
Apriori(VC程序)
- 本程序是数据挖掘中的关联规则模型中著名的Aprior算法的VC实现程序，可用于知识发现、数据挖掘、人工智能、模式识别等领域（请先解压文件）-The code is the VC implementation of the well-known Aprior algorithm in Association Rule Model of Data Mining field, can be used in Knowledge Discover
apriori算法java实现
- 针对于关联规则数据挖掘的apriori算法,采用ODBC连接数据库.采用Java实现.-Implement apriori algorithm of Assosiation Rule Data Mining using Java, accessing database with ODBC.
bomo
- 关联规则的频繁项集算法bomo的源代码，含说明文件，C编写，可在linux和windows下编译。-Related and regular frequent source codes which collects algorithm bomo, includes the supporting paper, C is written, can compile under linux and windows
fpmax_star
- 关联规则中的频繁项集生成算法fomax*，一个非常优秀的算法，由中国人（朱建飞）的参与。-association rules of frequent item sets Algorithm trillion *, a very good algorithm, China (Zhu Jianfei) participation.
Mafia-1.4
- 关联规则中的频繁项集生成算法Mafia1.4版本，一个效果非常好的算法，可在linux和windows下编译运行。-association rules of frequent item sets Algorithm Mafia1.4 version, a very good effect algorithm, and the Linux compiler running under windows.
newgenmax
- 关联规则中的频繁项集生成算法genmax，可在linux和windows下编译运行，可能不太容易看懂。-association rules of frequent item sets genmax generation algorithm, and the Linux compiler running under windows, it may not be easy to understand.
TreeMiner
- 关联规则中的频繁项集生成算法TreeMiner，可在linux和windows下编译运行。-Frequent one of related rule collect and produce algorithm TreeMiner , can compile running under linux and windows
Apriori-COM
- 用VC做的一个挖掘系统的关联规则算法。COM组件的源代码，已应用到实际系统中。-Utilising VC to make a program which is a arithmetic of affiliated enterprise of dig system. COM components have been applied the system.
GEPAlgorithm
- 基因表达式编程 基本算法 能够完成术用于公式发现、函数挖掘，关联规,则挖掘，因子分解，和预测等-gene expression programming algorithm can be used for the completion of the formula found that function Mining, related regulations, mining, factorization, and the forecast
Apriori
- 数据挖掘关联规则的系统平台实现,用c++编程语言在vs上进行了开发(association rules mining)
apriori
- Apriori算法是一种挖掘关联规则的频繁项集算法，其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集。而且算法已经被广泛的应用到商业、网络安全等各个领域。(Apriori algrithom use for clustering)
Apriori
- 数据挖掘，频繁项集和关联规则,C++源代码模拟程序(Data mining, frequent itemsets and association rules, C++ source code simulation program)
chapter12
- 使用关联规则，对网络中的*进行分析，实现平台为matlab(by bpnetwork to anlysize the water)
aprori
- 实现关联规则程序，利用java eclipse，但不能输出频繁项集(Implementation of association rules program)
armada
- 已经编好了的算法只要按照read me操作即可运行的。设置好支持度和置信度点击运行可出来关联规则的最后结果。(The algorithms that have been compiled can be run as long as they are operated on read me. Set the final result of the rules that can be run out by clicking on the s
1
- 关联规则的Apripori算法matlab实现(Matlab implementation of Apripori algorithm for association rules)
untitled0
- 关联规则挖掘算法 Python实现Apriori算法(Association rule mining algorithm Python implementation Apriori algorithm)
NewWeightedApriori
- 加权模糊关联规则挖掘，一种基础算法的改进，增加权值(Weighted fuzzy association rules mining The improvement of algorithm,)
my_apriori
- 很好用的关联规则挖掘经典算法，推荐使用。包括支持度、置信度、提升度，输出结果到excel文件(Good use of association rules mining classic algorithm, recommended)
zip
- 依靠matlab平台采用Apriori算法进行气温与降水关联规则的提取(Using Apriori algorithm to extract association rules between temperature and precipitation based on MATLAB platform)