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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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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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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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VC6.0 C语言实现的简单FP-growth算法，数据挖掘的基础算法-VC6.0 C language implementation of a simple FP-growth algorithm, the basis of data mining algorithms
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An Implementation of the FP-growth Algorithm
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FP-growth 算法，包括了建树和挖掘部分。
代码风格良好，可读性强，运算速度快,
accident.dat, 340000条数据，50 支持度，建树和挖掘时间100秒左右，mushroom.dat, 8000条记录，建树和挖掘不超过8秒-FP-growth algorithm， written with c++,(ide is visual c++ 2008). The program is very fast and robust，for data of accide
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FP-TREE算法，非常经典的数据挖掘算法，学习数据挖掘的好例子-FP-TREE algorithm, a very classic data mining algorithms, data mining study a good example of
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很不容易找到的一个外国人写的Fp-growth的算法。注释很清楚，编程风格值得借鉴-Not easy to find a foreigner to write the Fp-growth algorithm. Notes It is clear that programming style is worth learning from
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数据挖掘中 fp增长算法求事务的频繁项集-Fp growth data mining algorithm for frequent itemsets affairs
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FPTree增长算法C语言实现
有详尽的注释和中间结果测试代码
包括：FP树, 频繁项集，条件FP树测试-FPTree Growth algorithm C implementation.It consists of detailed commnet and test code of intermediate result such as FP-Tree, frequent item set, conditional FP-Tree
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An Implementation of the FP-growth Algorithm
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一个对数据挖掘中频繁模式挖掘算法FPgrowth的实现，且带有图形界面和介绍的文档-THE LUCS-KDD IMPLEMENTATIONS OF THE FP-GROWTH ALGORITHM
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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.
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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
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fp-growth的c实现算法fp-growth将发现所有的频繁项目集的过程分为以下两步：构造频繁模式树fp-tree；调用fp-growth(挖掘出所有的频繁项目集。-fp-growth of the c fp-growth algorithm will find all the frequent item sets is divided into the following two-step process: frequent pattern tree structure fp-tree
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FP增长树算法C++实现，用于挖掘频繁项，产生关联规则。-FP growth tree the algorithm C++ achieve, for mining frequent item and associated rules.
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支持多最小支持度阈值的关联规则挖掘，基于FP-growth算法实现-Support multiple minimum support threshold for mining association rules based on FP-growth algorithm
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频繁模式挖掘算法FP-Growth，用于挖掘用户的频繁访问模式-Frequent pattern mining algorithm FP-Growth, for mining frequent user access patterns
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fp-growth算法的c++实现，比较简单，但不能生成关联规则。-fp-growth algorithm c++ implementation, relatively simple, but can not generate association rules.
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数据挖掘算法，FP-Tree算法VS实现-The data mining algorithm, FP-Tree algorithm VS implementation
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