Description: 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 the frequent association rules is the area of data mining the most fundamental and important issues. Most of the early studies used a similar Apriori algorithm for the selection of candidates and test-iterative way was costly, particularly mining the rich patterns and long model, Jiawei Han proposed a novel data structure FP_tree and on the basis of their FP_growth algorithm used effectively the model for long and rich patterns of excavation. This paper discussed the FP_growth algorithm on the basis of the Visual C of the algorithm, and the preparation procedure of the algorithm. Platform: |
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Author:hq |
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Description: 此为FP-tree增长算法,本人已经测试过,没有问题,大家放心用吧-this as FP-growth tree algorithm, I have tested, no problem, we use it assured Platform: |
Size: 33792 |
Author:hsbcool |
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Description: fpgrowth算法的java程序
运行程序的命令
java -cp fpgrowth.jar association.fptree.Test 100 sample.txt
其中100 是支持度阈值 sample.txt是样本文件名。
注意:如果样本中的项目过多,可能会产生内存溢出错误
运行程序需要JDK 5.0
欢迎交流:xiangyuan.lippi@yahoo.com.cn-fpgrowth algorithm java procedures procedure for the java-cp fpgro wth.jar association.fptree.Test 100 sample. txt which supports 100 threshold is sample.txt sample file. Note : If the samples of a large number of projects, Memory may have overflow errors operational procedures need JDK 5.0 welcomed the exchange : xiangyuan.lippi @ yahoo.com.cn Platform: |
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Author: |
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Description: FPgrowth的java算法,该算法主要是写出了各个的功能函数,需自己写main()函数-FPgrowth the java algorithm, which is to write all of the function, need to write their own main () function! ! Platform: |
Size: 3072 |
Author:andy |
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Description: 数据挖掘算法中的Fp-tree 树算法源代码,希望大家可以用的到,谢谢!-Data mining algorithms in the Fp-tree tree algorithm source code, hope that we can use that, thank you! Platform: |
Size: 47104 |
Author:Kevinchen |
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Description: FP-Tree算法是关联规则挖掘算法,和经典的Apriori算法相比,有很大优势。-FP-Tree algorithm is association rule mining algorithm, and classical Apriori algorithm, there is a great advantage. Platform: |
Size: 94208 |
Author:聂风 |
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Description: 用Fp-tree这个结构来查找频繁项藉,不管在性能还是鲁棒性都比经典算法aprior算法优-With Fp-tree structure to find the frequent items of this by, whether in the performance and robustness of the algorithm is superior than the classical algorithm aprior Platform: |
Size: 26624 |
Author:23123 |
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Description: FP增长算法的实现与测试(Java实现)
1、程序编译运行环境Eclipse3.20+JDK1.60
2、程序参数说明
-F=filename
-S=support
-C=confidence
filename:数据集文件名,必须位于工程根目录下
support:支持度,位于0-100.0之间的任意数
confidence:置信度,位于0-100.0之间的任意数
例如:-F=anonymous-msweb.data -S=10.0 -C=45.0(参数顺序无关)
3. 程序正确性验证
工程中包含sample.txt文件用来验证。
具体方法:
(1)在AssociationRuleMining 类中,preprocessDataSet函数的最后一条语句替换为fileName = "sample.txt"
(2)在FPgrowth类中,main函数中的 myFPtree.outputARs2() 替换为 myFPtree.outputARs()
(3)输入正确格式的参数,数据集文件名可任意-FP growth algorithm implementation and testing (Java implementation)
1, compiled runtime environment Eclipse3.20+ JDK1.60
2, program parameters that
-F = filename
-S = support
-C = confidence
filename: data set file name, must be located project root directory
support: support, in any number between 0-100.0
confidence: confidence, any number in between 0-100.0
example:-F = anonymous-msweb.data-S = 10.0-C = 45.0 (parameter order has nothing to do)
3. program correctness verification project file contains sample.txt to verify. Specific methods:
(1) AssociationRuleMining class, preprocessDataSet last statement function is replaced fileName = " sample.txt"
(2) in the FPgrowth class, main function in the myFPtree.outputARs2 () replace myFPtree.outputARs ()
(3) Enter the correct format, parameters, file names can be arbitrary data set Platform: |
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Author:frank |
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Description: This source code contains implementation of FP growth algorithm. It requires java on the system in order to execute.-This is source code contains implementation of FP growth algorithm. It requires java on the system in order to execute. Platform: |
Size: 3072 |
Author:madhu |
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