文件名称:apriori
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 201kb
- 下载次数：
- 0次
- 提 供 者：
- plai*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
Apriori算法【l】：1994年由R．Agrawal等人提出来的Apriori算法是
关联规则挖掘的一个经典算法，后来的许多算法都是基于该算法的思想。算
法的名称来源于在算法中应用了频繁项集的先验知识，即：一个频繁项集的
任一非空子集必定是频繁项集；因此只要某一项集是非频繁的，则其超集就
无须再检验。-Apriori algorithm】 【l: 1994 by R. Agrawal et al to the Apriori algorithm is a classical association rule mining algorithm, and later many of the algorithms are based on the idea of the algorithm. The name comes from the algorithm applied in the algorithm a priori knowledge of frequent item sets, ie: any of a frequent itemset must be a non-empty subset of frequent item sets so long as a particular set of non-frequent, its superset to no longer need to test.
关联规则挖掘的一个经典算法，后来的许多算法都是基于该算法的思想。算
法的名称来源于在算法中应用了频繁项集的先验知识，即：一个频繁项集的
任一非空子集必定是频繁项集；因此只要某一项集是非频繁的，则其超集就
无须再检验。-Apriori algorithm】 【l: 1994 by R. Agrawal et al to the Apriori algorithm is a classical association rule mining algorithm, and later many of the algorithms are based on the idea of the algorithm. The name comes from the algorithm applied in the algorithm a priori knowledge of frequent item sets, ie: any of a frequent itemset must be a non-empty subset of frequent item sets so long as a particular set of non-frequent, its superset to no longer need to test.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
apriori\src\makefile
.......\...\apriori.mak
.......\...\istree.c
.......\...\apriori.dsp
.......\...\Debug\vc60.idb
.......\...\.....\vc60.pdb
.......\...\apriori.ncb
.......\...\apriori.plg
.......\...\apriori.c
.......\...\istree.h
.......\...\apriori.opt
.......\...\apriori.dsw
.......\ex\hdr2set
.......\..\test1.tab
.......\..\xhdr2set
.......\..\row2set
.......\..\test2.tab
.......\..\test4.tab
.......\..\test.app
.......\..\tab2set
.......\..\rulesort
.......\..\test5.tab
.......\..\test.rul
.......\..\flg2set
.......\..\readme.txt
.......\..\tid2set
.......\..\test3.tab
.......\doc\chi2.aux
.......\...\c_rev.gp
.......\...\line.gif
.......\...\chi2.tex
.......\...\uparrow.gif
.......\...\chi2.pdf
.......\...\chi2.log
.......\...\apriori.html
.......\...\arem.gp
.......\...\copying
.......\src\Debug
.......\src
.......\ex
.......\doc
apriori
.......\...\apriori.mak
.......\...\istree.c
.......\...\apriori.dsp
.......\...\Debug\vc60.idb
.......\...\.....\vc60.pdb
.......\...\apriori.ncb
.......\...\apriori.plg
.......\...\apriori.c
.......\...\istree.h
.......\...\apriori.opt
.......\...\apriori.dsw
.......\ex\hdr2set
.......\..\test1.tab
.......\..\xhdr2set
.......\..\row2set
.......\..\test2.tab
.......\..\test4.tab
.......\..\test.app
.......\..\tab2set
.......\..\rulesort
.......\..\test5.tab
.......\..\test.rul
.......\..\flg2set
.......\..\readme.txt
.......\..\tid2set
.......\..\test3.tab
.......\doc\chi2.aux
.......\...\c_rev.gp
.......\...\line.gif
.......\...\chi2.tex
.......\...\uparrow.gif
.......\...\chi2.pdf
.......\...\chi2.log
.......\...\apriori.html
.......\...\arem.gp
.......\...\copying
.......\src\Debug
.......\src
.......\ex
.......\doc
apriori