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Description: FP-GROWTH算法的源代码(JAVA)-FP-Growth code and algrithem
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Size: 7778 |
Author: 黎平 |
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Description: 本人上传的是FP-GROWTH算法的Visual C++ 6.0下的源代码实现，已调试通过-I upload the FP-GROWTH algorithm Visual C 6.0 source code is realized, Debugging has passed
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Size: 165483 |
Author: 风中絮 |
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Description: 本程序实现通过构造一棵前缀树实现 最大模式频繁项集挖掘算法.应用fp树增长算法实现.-the program by constructing a prefix tree to achieve the greatest model Frequent Mining algorithms. Application fp growth tree algorithm.
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Size: 99328 |
Author: 石飞 |
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Description: FP-GROWTH算法的源代码(JAVA)-FP-Growth code and algrithem
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Size: 7168 |
Author: 黎平 |
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Description: 我编写的能够实现频繁关联模式挖掘的FP-Growth数据挖掘算法。-prepared by the association to achieve frequent pattern mining FP-Growth data mining algorithms.
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Size: 288768 |
Author: 赵杰伊 |
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Description: 本人上传的是FP-GROWTH算法的Visual C++ 6.0下的源代码实现，已调试通过-I upload the FP-GROWTH algorithm Visual C 6.0 source code is realized, Debugging has passed
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Size: 789504 |
Author: 风中絮 |
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Description: java platform java-growth algorithm
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Size: 26624 |
Author: |
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Description: FP-GROWTH算法的C代码,可以成功查找所有的频繁项集合-FP-GROWTH algorithm in C code, you can be successful all the frequent item sets
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Size: 7168 |
Author: 才华 |
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Description: Data Minig中的FP GROWTH 算法,附带test实例及实验数据分析-Data Minig of FP GROWTH algorithm, fringe test examples and experimental data analysis
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Size: 1802240 |
Author: david |
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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
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Size: 33792 |
Author: hsbcool |
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Description: 本人上传的是FP-GROWTH算法的数据挖掘中的关联规则与序列模式-I upload the FP-GROWTH algorithm Data Mining Association Rules and sequence mode
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Size: 67584 |
Author: liujia |
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Description: fp-growth 算法步骤说明-fp-growth algorithm steps note
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Size: 1024 |
Author: clark |
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Description: A program to find frequent itemsets with the relim algorithm (recursive elimination), which is inspired by the FP-growth algorithm, but does its work without prefix trees or any other complicated data structures. The main strength of this algorithm is not its speed (although it is not slow, but even outperforms apriori and eclat on some data sets!), but the simplicity of its structure. Basically all the work is done in one recursive function of about 60-70 lines of code. The current version can only find free item sets. An extension to closed and maximal item sets is possible and may be available in the future.-A program to find frequent itemsets with th e relim algorithm (recursive elimination). which is inspired by the FP-growth algorithm, but does its work without prefix trees or any oth er complicated data structures. The main stren gth of this algorithm is not its speed (although it is not slow, but even outperforms apriori and eclat on some d was observed sets!) , but the simplicity of its structure. Basically all the work is done in one of recursive function about 60-70 lines of code. The current version c an only find free item sets. An extension to clos ed and maximal item sets is possible and may be av ailable in the future.
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Size: 30720 |
Author: clark |
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Description: 关于FP增长树的算法，并用C++实现,在数据挖掘里非常有用.-Growth on the FP-tree algorithm, and C++ Realize, in the data mining in very useful.
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Size: 3072 |
Author: dapan |
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Description: 是一本关于fp-growth的数目中的关于fp-growth的实际应用的内容，具有很好的参考价值-Is an fp-growth on the number of fp-growth on the practical application of the contents of the reference value has a very good
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Size: 236544 |
Author: chenjing |
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Description: An Implementation of the FP-growth Algorithm
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Size: 2048 |
Author: anhdthy |
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Description: FP-growth - datamining algorithm to mine the association rules
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Size: 51200 |
Author: sai subramanyam |
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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
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Size: 540672 |
Author: frank |
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Description: java fp growth implementation
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Size: 1069056 |
Author: adnan123 |
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