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System
- 简单的数据挖掘程序，带界面的，使用的是关联规则的Apriori算法-Simple data mining program, with the interface, using the Apriori algorithm of association rules
Introduction-to-Data-Mining
- 整体介绍数据挖掘定义及过程，对预处理、聚类、分类、关联规则讲解-Definitions and overall presentation of data mining process, pretreatment, clustering, classification, association rules explained
cumulate
- 多层次关联规则挖掘算法：cumulate 可以支持跨层的关联规则挖掘。数据集为T10I4D100K，概念层次树有10个根节点，分三层。-Multi-level association rule mining algorithm: cumulate to support cross-layer association rule mining. Dataset T10I4D100K, has 10 concept hierarchy tree root, divided into three lay
MSapriori
- 多最小支持度关联规则挖掘算法，数据集为T10I4D100K,多最小支持度阈值文件为MS-change-Multiple minimum supports association rule mining algorithm, the data set is T10I4D100K, more than the minimum support threshold file for the MS-change
MSML
- 支持多最小支持度多层次的关联规则挖掘，数据集为T10I4D100K，多最小支持度阈值为MSchange-Support multiple minimum supports multi-level association rule mining, data set T10I4D100K, more than the minimum support threshold MSchange
readonline
- 数据挖掘技术与关联规则挖掘算法研究.可惜是txt形式的-Data mining techniques and algorithms for mining association rules
Apriori(c)
- 信息技术的不断推广应用，将企业带入了一个信息爆炸的时代。如何充分利用这些数据信息为企业决策者提供决策支持成为一个十分迫切的又棘手的问题。著名的Apriori算法是一种挖掘关联规则的算法，用来解决信息过载。apriori算法c语言代码，里面有注释。-An information burst age is coming with the various application of Information technology. How to maximize the information is
Application-of-Data-mining
- 数据挖掘是商务智能中经常使用的一项重要技术，企业在其整个运营过程中，积累了庞大的数据信息，决策者们所需要的信息往往就隐藏在里面，数据挖掘的目的就是如何有效地处理这些数据。论文结合数据挖掘软件Clementine分析了关联规则和聚类分析这两种算法在超市中的具体应用。-Data mining is an important technology,which is often used in business intelligence.Enterprises have accumulated larg
Apriori
- 数据挖掘中最基本的关联规则算法，该算法简单，适合刚解除数据挖掘的朋友-The most basic data mining association rules algorithm, which is simple, just lift the data mining for friends
rule-mining-by-BPSO
- 本文提出来一种基于关联规则挖掘的二进制粒子群优化算法（BPSO），该算法与apriori算法不同，在从交易数据集中提取关联规则的过程中不需要给定支持度与置信度的阈值。-In this paper, we developed a binary particle swarm optimization (BPSO) based association rule miner. Our BPSO based association rule miner generates the associatio
apriori
- 关联规则(Association Rules)是反映一个事物与其他事物之间的相互依存性和关联性，apriori是数据挖掘的一个重要技术，用于从大量数据中挖掘出有价值的数据项之间的相关关系-Association rules (Association Rules) is a reflection of the interdependence and correlation between things and other things, apriori data mining is an impo
apriori
- 数据挖掘中关联规则挖掘的算法apriori基本功能的实现，可以在上面添加自己想要的功能-Data mining association rule mining algorithms apriori basic functions can be added above the function you want
Aprior
- 完成关联规则的数据挖掘算法。一个核心类，一个工具类，一个测试类，更具支持度、置信度和规则得到推荐值-To complete the data mining of association rules algorithm.
data-mining_GRI
- GRI关联数据挖掘. GRI是关联规则的一种算法。很有用的。-GRI association data mining
apriori
- 利用apriori算法实现数据挖掘中产生关联规则。-Use apriori algorithm to generate association rules data mining.
MyApriori
- 使用Apriori算法进行关联规则挖掘，数据文本格式参阅例子文件夹-Association rule mining with Apriori
Ap
- 数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample
FPtree
- 数据挖掘中关联规则算法的FPtree算法的Python实现。FPtree算法比apriori算法更擅于处理大规模的数据-Data Mining Association Rules algorithm FPtree algorithm implemented in Python. FPtree algorithm apriori algorithm is more than adept at handling large data
apriori
- Apriori algorithm是关联规则里一项基本算法。是由Rakesh Agrawal和Ramakrishnan Srikant两位博士在1994年提出的关联规则挖掘算法。关联规则的目的就是在一个数据集中找出项与项之间的关系。 文件中为实现Apriori算法的matlab函数-Apriori algorithm in association rules is a basic algorithm. By Rakesh Agrawal and Ramakrishnan Srikant Dr
2
- 用c语言实现数据挖掘中关联规则的算法的代码-the c code for data mining