Description: apriori java 实现 * A program to find association rules with the apriori algorithm (Agrawal et al. 1993).<br> * Other than the standard apriori algorithm, this program enable to find<br> * apriori all relation.-algorithm to achieve* A program to find association rules with the algorithm algorithm (Agrawal et al. 1993). Lt; Brgt;* Other than the standard algorithm algorithm, this program to enable findlt; Brgt;* Algorithm all relation. Platform: |
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Author:石中超 |
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Description: 用MATLAB和VC实现关联规则挖掘的一个样例，有原码-using MATLAB and VC Mining Association Rules an example, the original code Platform: |
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Author: |
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Description: 关联规则中前缀树算法在VC下的实现，源代码-Association rules prefix tree algorithm in VC under the realization of the source code Platform: |
Size: 1567744 |
Author:raul |
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Description: 这是MATLAB实现的数据挖掘方面的关于关联规则的一个算法-MATLAB realization of this is the area of data mining association rules on an algorithm Platform: |
Size: 313344 |
Author:黄 |
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Description: Data Mining toolboox that extracts Association Rules from numerical data files using a variety of selectable techniques and criteria Platform: |
Size: 306176 |
Author:herlina |
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Description: 关联规则分析问题的一种方法 apriori在MATLAB下的编写 -Association Rules in a way the problem apriori prepared under the MATLAB Platform: |
Size: 3072 |
Author:刘琦 |
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Description: 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、结果的解释评估。-Data Mining (Data Mining) stage must first determine the mission or purpose of the excavation. The purpose of data mining is to draw valuable information hidden in the data. Data mining is an interdisciplinary involving a wide range, including control study, mathematical statistics, neural networks, databases, pattern recognition, rough sets, fuzzy mathematics and other related technologies. It is also often referred to as the " knowledge discovery" . Knowledge discovery (KDD) is that the whole process is to discover useful knowledge from data. Data mining is a particular step in the KDD process, with a special algorithm (patter, such as data classification, clustering, association rules discovery or sequential pattern discovery. Extracted from the data model and data mining major steps: data preparation, data mining, interpretation of the results evaluated. Platform: |
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Author:dlufl |
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Description: 简单的用Matlab实现关联规则基本算法Apriori算法，打开Matlab 目录调至压缩包解压的目录下，直接在matlab上运行test，有测试数据。-Simple association rules using Matlab basic algorithm Apriori algorithm, open Matlab directory raised unpack the archive directory, directly run in matlab test, with test data. Platform: |
Size: 2048 |
Author:李时针 |
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Description: 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 Drs association rules proposed in 1994 mining algorithms. The purpose of association rules is to find out the relationship in a dataset of between items.
Document for the realization of Apriori algorithm matlab function
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Author:longwei |
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Search - Association Rules in Matlab