资源列表
apriori_fpgrowth
- apriori和fp-growth算法的c实现，十分高效。-apriori and fp-growth algorithm c realized, very efficient.
DataMiningFPGrowth
- FP-Growth算法的java实现，简单易于理解。经测试，可用。不过不能输出关联规则。-FP-Growth algorithm to achieve the java, simple and easy to understand. Tested and available. But not output association rules.
DataMiningApriori
- apriori的java实现，写的有点长，不能输出关联规则。经测试，可用。-apriori achieve the java, write a bit long, you can not output association rules. Tested and available.
clsf_dpd1
- 基于粗糙集和遗传算法的属性约简，包含核及不可区分关系等求解-Attribute reduction based on rough sets and genetic algorithm, including nuclear and indistinguishable relationship to solve
Data-Mining-with-R
- 运用R语言进行数据挖掘算法设计与运算，能够提升R语言学习能力与数据挖掘算法应用能力-R language use data mining algorithm design and operation, it is possible to enhance the R language learning and data mining algorithms application capabilities
PerceptualHash
- 感知哈希算法简单实现，利用opencv实现均值哈希和p哈希算法。-Perception of hash algorithm is simple to implement, using opencv average hash and pHash algorithm.
lbp
- 实现了简单的LBP算法，基于opencv2.4.10-Implements a simple LBP algorithm, based on opencv2.4.10
the-APRIORI-algorithm
- 实现Apriori算法，应用于如下的数据（给定参数），挖掘频繁项集 -an example for Apriori algorithm in data mining
KNN
- K-最邻近分类器的一个实例，实现了对数据的分类，内含测试数据-an example of K-nearest algorithm,containing a set of test data
Apriori
- 数据挖掘Apriori算法，产生频繁项集-Apriori data mining algorithms to generate frequent itemsets
fp_growth
- 数据挖掘的FPgrowth算法，快速的获得频繁项集-FPgrowth data mining algorithms, fast access to frequent item sets
IJETAE_0313_100
- Intrusion Detection System Using Data Mining Technique: Support Vector Machine