Description: 一个用Apriori算法实现的数据挖掘关联规则程序-An implementation of Association Rules Data Mining using Apriori Algorithm Platform: |
Size: 84992 |
Author:潘文斌 |
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Description: 在数据库中发现频繁模式和关联规则是数据挖掘领域的最基本、最重要的问题。大多数早期的研究采用了类似Apriori算法的产生候选级并测试迭代的途径代价是昂贵的，尤其是挖掘富模式和长模式时，Jiawei Han提出了一种新颖的数据结构FP_tree,及基于其上的FP_growth算法，主要用于有效的进行长模式与富模式的挖掘.本文在讨论了FP_growth算法的基础上，提出了用Visual C++实现该算法的方法，并编写了算法的程序。-found in the database model and the frequent association rules is the area of data mining the most fundamental and important issues. Most of the early studies used a similar Apriori algorithm for the selection of candidates and test-iterative way was costly, particularly mining the rich patterns and long model, Jiawei Han proposed a novel data structure FP_tree and on the basis of their FP_growth algorithm used effectively the model for long and rich patterns of excavation. This paper discussed the FP_growth algorithm on the basis of the Visual C of the algorithm, and the preparation procedure of the algorithm. Platform: |
Size: 10240 |
Author:hq |
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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: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
一个可以实现多种方法分类的软件，利用各个
对象的属性。决策树，距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc. Platform: |
Size: 15446016 |
Author:马何坛 |
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Description: 数据挖掘中并行关联规则中经典Apriori算法的Java源代码实现。-Parallel data mining association rules in the classical Apriori algorithm realize the Java source code. Platform: |
Size: 4096 |
Author:张国祥 |
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Description: 用java实现数据挖掘关联规则经典算法Apriori算法-Java data mining using association rules to achieve the classic algorithm Apriori algorithm Platform: |
Size: 742400 |
Author:任修凯 |
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Description: Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7-Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7 Platform: |
Size: 4790272 |
Author:Jess |
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Description: Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and association rule mining is one of the few excep-
tions to this tradition. The introduction of this technique boosted data mining research and its
impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting
with Apriori-like algorithm is the fi rst thing that data miners try to do. Platform: |
Size: 132096 |
Author:鱼彬彬 |
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Description: weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an open platform for data mining work, collection of a large number of data mining capable of undertaking the task of machine learning algorithms, including data pre-processing, classification, regression , clustering, association rules, as well as in the new interactive visualization interface Platform: |
Size: 10288128 |
Author:朱磊 |
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Description: 这是实现资料挖掘中的Apriori演算法的源代码
此java程式需先在同一资料夹下创建一个database.txt档
开启档案后,输入最小支持度及信赖度,程式会执行计算出关联法则
此与一般的apriori代码不同,经过修改后亘加完美-This is the realization of the Apriori data mining algorithm java source code for this program need to be in the same folder create a file to open the file database.txt, enter the minimum support and confidence, the program will calculate the association rules to implement this with the apriori code in general different,经济increase over the revised through perfect Platform: |
Size: 35840 |
Author:洪武 |
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Description: Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Platform: |
Size: 18667520 |
Author:Alan |
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Description: 数据挖掘算法本程序是数据挖掘中的关联规则模型中著名的Aprior算法的java实现程序-This program is data mining algorithms in data mining association rules model of the famous Aprior algorithm java implementation procedures for Platform: |
Size: 3072 |
Author:王丽娅 |
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Description: 基于将数据挖掘与并行技术结合,学习数据挖掘中关联规则算法，用java编写出最高效的apriori改进算法，用ubuntu上的eclipse作为开发平台，通过在eclipse上安装hadoop插件的方法建立并行平台。-Based on the data mining combined with parallel technology, learning algorithms in data mining association rules, using Java to write out the most efficient apriori algorithm, using ubuntu on eclipse as a development platform, set up by using the method of install hadoop in the eclipse plug-in parallel platform. Platform: |
Size: 7168 |
Author:唐龙品 |
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