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 Discovery, Data Mining, AI, Pattern Re
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
Bpriori_0
- 在数据库中发现频繁模式和关联规则是数据挖掘领域的最基本、最重要的问题。大多数早期的研究采用了类似Apriori算法的产生候选级并测试迭代的途径代价是昂贵的，尤其是挖掘富模式和长模式时，Jiawei Han提出了一种新颖的数据结构FP_tree,及基于其上的FP_growth算法，主要用于有效的进行长模式与富模式的挖掘.本文在讨论了FP_growth算法的基础上，提出了用Visual C++实现该算法的方法，并编写了算法的程序。-found in the database model and th
fimi141
- 频繁模式挖掘算法，可以用于数据挖掘中关联规则的频繁项集挖掘- The frequent pattern excavation algorithm, may use in the data mining to be connected the rule the frequent item of collection to excavate
apriori_windows
- 关联规则的apriori算法实现，运行于windows环境下-association rules algorithm algorithm, which runs on Windows environment
apriori-rules
- 关联规则挖掘，一种改进了的APRIORI算法，效率较原有算法大大提高-mining association rules, an improved algorithm for the analysis and efficient than the original algorithm greatly enhanced
Apiori_Java
- 数据挖掘关联规则Apiori算法的java实现,关于算法可参考韩家伟的数据挖掘教程-Data Mining Association Rules Apiori algorithm java realization of algorithm reference Han Wei Data Mining Directory
98_102817_1114408677
- 数据挖掘的多维关联规则apriori算法的实现-Multidimensional Data Mining Association Rules algorithm algorithm implementation
FPtree
- 数据挖掘中关联规则算法的FPtree算法的Python实现。FPtree算法比apriori算法更擅于处理大规模的数据-Data Mining Association Rules algorithm FPtree algorithm implemented in Python. FPtree algorithm apriori algorithm is more than adept at handling large data
apriori
- 数据挖掘 Apriori关联规则算法 产生频繁项集 完整，有数据、文档，源代码-Apriori association rule data mining algorithm produces frequent itemsets is complete, there are data, documentation, source code
AprioriMyself
- 是一个java实现的Apriori算法，用于挖掘关联规则(It's a java implementation of the Apriori algorithm)
Apriori算法源代码 C++
- 用于关联规则挖掘和频繁项集挖掘，Apriori算法源代码 C++(For association rules mining and frequent itemset mining, Apriori source code C++)
Association Rules Mining Algorithm
- 代码都已改好，可以实现关联规则的挖掘，调试过很多次，应该没问题。(The code has been changed so that the mining of association rules can be realized.)
mi02fptree
- 实现关联规则挖掘的两个算法源码，封装完整，易读易用，包含测试数据(The two algorithms to implement association rules mining are complete package, easy to read and easy to use, including test data)
Apriori
- 挖掘出事物数据库中所有的强关联规则，挖掘数据之间的支持度及置信度(Mining all the strong association rules in the database)
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,)