Description: Apriori算法源码（C++）
看了以前在这里发的apriori源码，觉得写得代码有些繁琐，现在重写了一下，主要是把数据操作和界面显示分离，使用了stl和boost，简化了字符操作的算法，数据库用的是mysql的，API是mysql++,在mfc下mysql++无法运行，所以gui框架用的是win32gui-lib(可以到sf.net/project/win32gui下载)。当然你也可以用odbc改写，或是换用别的数据库，因为算法逻辑是独立的，所以应该很容易改写
-Apriori algorithm source code (C) read here in the past made the algorithm source code some feel cumbersome written code, rewrite it, and the data is the main operation and interface shows separation, stl and use the boost, simplified characters of algorithms, databases using the mysql. API is mysql, the mfc mysql could not operate under, So the framework of the gui is win32gui-lib (logo can / project / win32gui download). Of course, you can also use odbc rewritten, or used for other databases, because logic algorithm is independent, Therefore, it should be very easy to rewrite Platform: |
Size: 29282 |
Author:libing |
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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. Platform: |
Size: 30955 |
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. Platform: |
Size: 34213 |
Author:clark |
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Description: 这是一个数据挖掘中的关联规则挖掘的经典算法：Apriori算法的程序-This is the code of Apriori-the classical algorithm used in Association Rules of Data Mining Platform: |
Size: 694272 |
Author:金水湾 |
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Description: Apriori算法源码（C++）
看了以前在这里发的apriori源码，觉得写得代码有些繁琐，现在重写了一下，主要是把数据操作和界面显示分离，使用了stl和boost，简化了字符操作的算法，数据库用的是mysql的，API是mysql++,在mfc下mysql++无法运行，所以gui框架用的是win32gui-lib(可以到sf.net/project/win32gui下载)。当然你也可以用odbc改写，或是换用别的数据库，因为算法逻辑是独立的，所以应该很容易改写
-Apriori algorithm source code (C) read here in the past made the algorithm source code some feel cumbersome written code, rewrite it, and the data is the main operation and interface shows separation, stl and use the boost, simplified characters of algorithms, databases using the mysql. API is mysql, the mfc mysql could not operate under, So the framework of the gui is win32gui-lib (logo can/project/win32gui download). Of course, you can also use odbc rewritten, or used for other databases, because logic algorithm is independent, Therefore, it should be very easy to rewrite Platform: |
Size: 28672 |
Author:libing |
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Description: 本算法的基本功能是用C＋＋语言实现了APRIORI算法，用户可以先选择要进行的操作。然后再输入支持度和置信度，就可得到挖掘的结果。
输出的结果主要包括两个部分。
1．输出所有的频繁项集。
2．输出所有的产生的规则。
算法还能够输出初始的事务集合，并且可以输出产生的中间结果。-the algorithm is the basic functions using C++ language of APRIORI algorithm, Users may choose to conduct the operation. Then import support and confidence, could be the result of excavation. Output of the two main parts. 1. Output of all frequent sets. 2. Output of all the rules. Algorithm can also output the affairs of the initial pool, and can output of intermediate results. Platform: |
Size: 106496 |
Author:linvg |
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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. Platform: |
Size: 30720 |
Author:clark |
Hits:
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. Platform: |
Size: 33792 |
Author:clark |
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Description: 数据挖掘Apriori源代码C++实现，利用此可以得到数据之间的关联规则挖掘，得到支持度等信息-Apriori data mining source code in C++, this can be used between the data mining association rules, get support and other information Platform: |
Size: 3072 |
Author:ljy |
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Description: apprior源代码 关于关联算法的 apprior的语句 利用C编译的 可以在C++平台运行-the apprior source code on the statement of the associated algorithm apprior C compiler can be run in C++ platform Platform: |
Size: 1024 |
Author:zhuangyongr |
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