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 Platform: |
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 Platform: |
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 Platform: |
Size: 33792 |
Author:hsbcool |
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Description: 数据挖掘中的FP-growth算法,很好的代码，可以挖掘数据库中的关联规则，很有效哦！-Data Mining of FP-growth algorithm, a very good code, you can tap the database of association rules, oh, very effective! Platform: |
Size: 29696 |
Author:王路漫 |
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Description: FP-growth算法的改进C++程序,具有较好的扩展性和应用性,本程序改成用行读取，然后在内存中解析。更有效的方式是采用块读取方式（本人在以前项目中验证过，速度大为提高。）-FP-growth algorithm C++ Procedures, have good scalability and application, the procedure changed to use line to read, and then resolve in memory. More effective approach is the use of block-read mode (I tested before the project, speed greatly improved.) Platform: |
Size: 1803264 |
Author:laizhengwen |
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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. Platform: |
Size: 3072 |
Author:dapan |
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Description: This the implementation the fp growth algorithm implemented c language where this algorithm normally finds the frequenttly generated itemmsets-This is the implementation the fp growth algorithm implemented c language where this algorithm normally finds the frequenttly generated itemmsets Platform: |
Size: 27648 |
Author:santu |
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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: |
Size: 540672 |
Author:frank |
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Search - fp growth algorithm