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: |
Size: 5120 |
Author:石中超 |
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Description: 数据挖掘关联规则 发现数据间的关系 如超市数据-Data Mining Association Rules data such as the relationship between data stores Platform: |
Size: 1024 |
Author:张烨 |
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Description: 一篇关于数据挖掘中关联规则的综述，希望对数据挖掘感兴趣的朋友有所帮助。-one on Data Mining Association Rules Review, and I hope to data mining interested friends help. Platform: |
Size: 1933312 |
Author:yu |
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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: |
Size: 1620992 |
Author: |
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Description: Apriori是数据挖掘中关联规则的经典算法，此源码是其Java实现。包内还有实例用的数据库-Data Mining Association Rules classic algorithms, this source is Java. There are examples of packages within a database Platform: |
Size: 174080 |
Author:Owen |
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Description: Mining Association Rules between Sets of Items in Large Databases，数据挖掘ERP，Apriori解释专用。-Mining Association Rules between Sets of I Systems is in Large Databases, data mining ERP, Apriori explained precincts. Platform: |
Size: 1010688 |
Author:八云 |
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Description: Apriori关联规则产生算法：不限制事务数据和1项集的数量，计算深度为3，变换深度值请修改循环中变量K的值-Apriori association rules algorithm generated: Without limiting the matters of data and a set quantity, calculation of a depth of 3, change the depth of value, please amend the cycle the value of variable K Platform: |
Size: 3072 |
Author:张三锋 |
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Description: 数据挖掘，找强关联规则。我和同学一起合作的，我负责频繁项集，强关联规则的稍后上传。-Data mining, finding strong association rules. I and students work together, and I am responsible for frequent itemsets and strong association rules later upload. Platform: |
Size: 4150272 |
Author:mhm0902 |
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Description: 改程序实现了的Apriori算法是数据挖掘中的经典关联规则算法-To realize the procedure of the Apriori algorithm is a classic data mining association rules algorithm Platform: |
Size: 4787200 |
Author:Fan Jun |
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Description: 数据挖掘中关联规则的eclat算法在VC下的实现-Data Mining Association Rules Eclat algorithm in the realization of the next VC Platform: |
Size: 374784 |
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: 本文提出了基于遗传算法的关联规则的提取方法，并从编码方法、适应度函数的构造、交叉算子和变异算子的设计等方面进行了详细都讨论和分析，并结合我校的智能型学生测评系统，给出了用遗传算法进行关联规则挖掘的实例。-This paper brings forward the algorithms based on the genetic algorithms of association rules,discusses and analyses the genetic algorithms in detail from coding method,fitness function,crossover operators,selection operators,mutation operators and other aspects.Associated with the Student Evaluation System,this paper gives the algorithms and program of mining association rule based on genetic algorithms. Platform: |
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Author:yunzhang |
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Description: Implementation of Apriori algorithm, using C#.
Apriori is a classic algorithm for learning association rules. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms are designed for finding association rules in data having no transactions (Winepi and Minepi), or having no timestamps (DNA sequencing).
Description of Apriori: http://en.wikipedia.org/wiki/Apriori_algorithm- Implementation of Apriori algorithm, using C#.
Apriori is a classic algorithm for learning association rules. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms are designed for finding association rules in data having no transactions (Winepi and Minepi), or having no timestamps (DNA sequencing).
Description of Apriori: http://en.wikipedia.org/wiki/Apriori_algorithm Platform: |
Size: 38912 |
Author:gabi4488 |
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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: 实现空间数据挖掘中的关联规则，代码短小但精炼，已经被作者成功实现。-Spatial data mining association rules, the code short, but refined, has been a successful author. Platform: |
Size: 3072 |
Author:郑继刚 |
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Description: 朴素贝叶斯分类是一种简单而高效的分类模型，然而条件独立性假设在现实中很少出，致使其性能有所下降。通过引入关联规则，从两方面来改善朴素贝叶斯分类的性能。一方面，通过对关联规则的挖掘，发现条件属性之间的关联关系，并且利用这种关联关系弱化朴素贝叶斯的独立性假设；另一方面，通过关联规则的置信度，给朴素贝叶斯加权。 -Naive Bayesian classifier is a simple and efficient classification model, the conditional independence assumption, however, rarely in the real world, resulting in decreased performance. Through the introduction of association rules, two ways to improve the performance of naive Bayesian classifier. On the one hand, by association rule mining, found the association between condition attributes and use this association weakened Bayesian independence assumption the other hand, by association rule confidence, to the simple Bayesian Alaska right. Platform: |
Size: 1310720 |
Author:张广明 |
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