搜索资源列表
cSPADE.rar
- Mining sequential patterns with constraint (SPADE with constraint),Mining sequential patterns with constraint (SPADE with constraint)
PrefixSpan
- java版的PrefixSpan算法实现，文件里包含了详细的文档说明，还有示例。-PrefixSpan algorithm. The document containing a detailed descr iption and an example.
apriori
- Apriori algorithm for sequential pattern mining
profix
- 数据挖掘中profix序列模式算法实现，含有详细注释！-Data mining algorithm sequential pattern profix, containing detailed notes!
Apriori--Algorithm
- 一种基于Apriori原理的算法的实现，它是序列模式挖掘中的经典算法-Apriori algorithm based on the realization of the principle, which is the classic sequential pattern mining algorithm
py_gapbide
- python实现的BIDE算法，应用于序列模式的挖掘-the algorithm is applied by python,it is applied to the sequential pattern mining
DATABASE_VER_1
- databases for mining sequential pattern
matlab-data-mining
- 数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科，包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤，它用专门算法从数据中抽取模式(patter，如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是：数据准备、数据挖掘、结果的解释
prefixspan-0.4-ngram
- 数据挖掘算法，用于挖掘频繁序列模式，包含完整的使用说明文档-Data mining algorithm for mining frequent sequential patterns, including the complete user documentation
prefixspan
- 序列模式挖掘算法PrefixSpan，主要用于挖掘频繁的访问序列-Sequential pattern mining algorithms PrefixSpan, mainly for mining frequent access sequences
Top-10-Algorithms-in-Data-Mining
- 在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和 Top 10 Algorithms in Data Mining IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算 法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material
GSP
- GSP是基于apriori思想的高效序列模式挖掘算法，不用二次遍历所有序列集。-GSP is based on highly efficient sequential pattern mining algorithm apriori thought, do not traverse all secondary sequence set.
AprioriAll-Algorithm-master
- To reduce the generation of candidate sequences and the scans to sequence database for AprioriAll algorithm, an efficient sequential pattern mining method based on improved AprioriAll algorithm is presented. Firstly, data are preprocessed. Then do