搜索资源列表
ExFP_growth
- 可挖掘负关联规则的FP_growth算法:将负项目扩展到原始数据集，同正项目一样看成普通项目（该过程已集成到程序中），然后使用FP_growth算法挖掘含负项目的一般化频繁项集
web-mining
- 讲述数据挖掘的理论，以及关联规则的详细介绍和实现算法
apriori的C#源码
- 用于关联规则挖掘apriori算法的C#编程
Apriori
- 用C#实现的关联规则Apriori算法。请大家放心使用。-With C# Realized Apriori algorithm for association rules. Please rest assured to use.
48
- 该算法主要实现了数据挖掘的关联规则Apriori算法-The algorithm achieved a major data mining Apriori algorithm for association rules
Apriori
- 了解关联规则在数据挖掘中的应用，理解和掌握关联挖掘的经典算法Apriori算法的基本原理和执行过程并完成程序设计-Understand the association rules in data mining applications, understand and grasp the classic association mining algorithm Apriori algorithm and implementation of the basic principles of the p
Apriori121
- Apriori算法的实现，Apriori关联规则的实现
apriori_java
- Java编写的关联规则中的apriori算法的实现-Java prepared in the apriori association rule algorithm
Gg
- 将FP-G rowth算法应用于面向目标的关联规则(OOA)挖掘,对FP-Tree的结点进行了修改,增加了目标支持度计数和效用度累计两个字段,对FP-G rowth算法进行了改进.实验结果表明,改进后的方法比基于Apriori算法和基于D free算法的OOA挖掘效率更高. -The FP-G rowth algorithm is applied to a goal-oriented association rules (OOA) mining, on the FP-Tree nodes w
FP_Tree-by-CSharp
- 使用C#实现的频繁模式树(FP-Tree)关联规则挖掘算法,以SQL Server数据库作为数据源.-Using c# of the realization of the frequent mode Tree (FP-Tree) algorithm is proposed to SQL Server database as data sources.
Tapriori_algoh
- 本算法是基于数据挖掘与关联规则，有很强的参考价值，有测试试数据，及说明文档 ，说明文档英文，已通过测试。 -This algorithm is based on data mining and association rule, there is a strong reference value, the pilot test data, documentation, documentation in English, has been tested.
diffEclat.tar
- 将关联规则挖掘算法修改为关联分类算法，具有很强的鲁棒性-Modify the association rule mining algorithm for associative classification algorithm has strong robustness
Decllatta
- 数据挖掘中关联规则的eclatt算法在Visual C下的实现 -Data mining for association rules eclatt algorithm implemented in Visual C
Caaprioril
- 关联规则的Apriori经典典算法，用纯c实现. -The Apriori classic typical algorithm using pure c.
ISliiqzipm
- 实现数据挖掘的一个重要算法sliq。能够从文文本中读出数据，并进行数据挖掘的关联规则分析。 -An important data mining algorithms sliq. Able to read data from the texts, and data mining association rules.
apriori
- 本算法用于挖掘最大频繁子集，并且找出所有的关联规则-minning maximum frequency subsets,and associate rules
src
- 数据关联规则挖掘算法Eclat，垂直数据格式-Data association rule mining algorithm Eclat, a vertical data format
apriori
- 关联规则 apriori 算法java编程-Association rules
Apriori
- 关联规则Apriori算法的C++代码实现，仅供参考。-Apriori c++
MyApriori
- Apriori算法是一种挖掘关联规则的频繁项集算法，本代码利用c++实现其基本功能-Apriori algorithm for mining association rules is a kind of algorithm of frequent itemsets, and this code using c++ to achieve its basic function