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: 数据挖掘中关联规则的经典算法Apriori算法源代码，可以连接到数据库-Data Mining Association Rules classical algorithm Apriori algorithm source code, can be connected to the database Platform: |
Size: 75776 |
Author:dx |
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Description: Apriori算法是发现关联规则领域的经典算法。该算法将发现关联规则的过程分为两个步骤：第一步通过迭代，检索出事务数据库中的所有频繁项集，即支持度不低于用户设定的阈值的项集；第二步利用频繁项集构造出满足用户最小信任度的规则-Apriori association rules algorithm is found in the field of classical algorithms. The algorithm will find the process of association rules is divided into two steps: first, through iteration, retrieve a transaction database of all the frequent itemsets, that is, support for no less than user-set threshold itemset the second step use of frequent itemsets constructed to meet the users trust in the rules of the smallest Platform: |
Size: 11264 |
Author:hey |
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Description: 数据挖掘中并行关联规则中经典Apriori算法的Java源代码实现。-Parallel data mining association rules in the classical Apriori algorithm realize the Java source code. Platform: |
Size: 4096 |
Author:张国祥 |
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Description: apriori算法源码，自己下了看吧，具体不清楚，别处来的-apriori algorithm source code, the look under their own specific do not know, somewhere else to Platform: |
Size: 15360 |
Author:杨柳 |
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Description: apriori算法的java代码，APRRORI算法使用频繁项性质的先验知识，逐层搜索迭代，用K-项集产生(K+1)-项集。APRRORI算法的一个显著特点是:利用APRIORI性质，压缩了频繁项集，提高了算法的效率。
-apriori algorithm java code, APRRORI algorithm uses the a priori nature of frequent itemsets knowledge, step by step iterative search using K-itemsets generated (K+ 1)- itemsets. APRRORI algorithm A significant feature is: the nature of the use of APRIORI, compression of the frequent itemsets, improve the efficiency of the algorithm. Platform: |
Size: 21504 |
Author:xinyuanwo |
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Description: Apriori算法源码，在vc++6.0环境下运行，编译，有操作界面-Apriori algorithm source code, in vc++ 6.0 environment to run, compile, there are user interface Platform: |
Size: 2595840 |
Author:魏新 |
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Description: 本程序是一个用java语言开发的apriori算法的源代码，该算法主要用于数据挖掘。-This procedure is developed using java language apriori algorithm source code, the algorithm is mainly used for data mining. Platform: |
Size: 41984 |
Author:buzhidao |
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Description: 这是实现资料挖掘中的Apriori演算法的源代码
此java程式需先在同一资料夹下创建一个database.txt档
开启档案后,输入最小支持度及信赖度,程式会执行计算出关联法则
此与一般的apriori代码不同,经过修改后亘加完美-This is the realization of the Apriori data mining algorithm java source code for this program need to be in the same folder create a file to open the file database.txt, enter the minimum support and confidence, the program will calculate the association rules to implement this with the apriori code in general different,经济increase over the revised through perfect Platform: |
Size: 35840 |
Author:洪武 |
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Description: 用c#实现的Apriori算法源码，需要用VS2008打开，使用时请修改数据库连接串。-C# to achieve with the Apriori algorithm source code, need to use VS2008 to open, use when you modify the database connection string. Platform: |
Size: 196608 |
Author:孙 |
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Description: 关联规则使用外部文件测试频繁项集算法源代码，java语言-Association rules to test the use of an external file frequent itemsets algorithm source code, java language Platform: |
Size: 29696 |
Author:xinmeng |
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Description: apriori算法是经典的数据挖掘算法，本源码以可视化界面的形式将结果展示给用户。-apriori algorithm is a classical data mining algorithms, the source code to the form of visual interface, the results show to the user. Platform: |
Size: 3072 |
Author:聂风 |
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