Description: 这是一个数据挖掘中的关联规则挖掘的经典算法：Apriori算法的程序-This is the code of Apriori-the classical algorithm used in Association Rules of Data Mining Platform: |
Size: 694609 |
Author:金水湾 |
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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: 这是一个数据挖掘中的关联规则挖掘的经典算法：Apriori算法的程序-This is the code of Apriori-the classical algorithm used in Association Rules of Data Mining Platform: |
Size: 694272 |
Author:金水湾 |
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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: Apriori算法源码（C++）
看了以前在这里发的apriori源码，觉得写得代码有些繁琐，现在重写了一下，主要是把数据操作和界面显示分离，使用了stl和boost，简化了字符操作的算法，数据库用的是mysql的，API是mysql++,在mfc下mysql++无法运行，所以gui框架用的是win32gui-lib(可以到sf.net/project/win32gui下载)。当然你也可以用odbc改写，或是换用别的数据库，因为算法逻辑是独立的，所以应该很容易改写
-Apriori algorithm source code (C) read here in the past made the algorithm source code some feel cumbersome written code, rewrite it, and the data is the main operation and interface shows separation, stl and use the boost, simplified characters of algorithms, databases using the mysql. API is mysql, the mfc mysql could not operate under, So the framework of the gui is win32gui-lib (logo can/project/win32gui download). Of course, you can also use odbc rewritten, or used for other databases, because logic algorithm is independent, Therefore, it should be very easy to rewrite Platform: |
Size: 28672 |
Author:libing |
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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: 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: 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: 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: 本文根据数据挖掘中关联规则的性质以及高校成绩管理数据库的自身特点。在经典关联规则算法Apriori算法的基础上提出了一种改进的算法A++算法，并利用该算法对学生成绩管理数据库进行了关联规则挖掘，得到了隐含在数据库中的有用信息。-Based on data mining association rules in the nature of the college performance management database to its own characteristics. In the classic Apriori algorithm for association rule algorithm based on an improved algorithm A++ Algorithm, and using the algorithm of student achievement management of database for mining association rules, have been implied in the database of useful information. Platform: |
Size: 217088 |
Author:梁旭 |
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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: 了解关联规则在数据挖掘中的应用，理解和掌握关联挖掘的经典算法Apriori算法的基本原理和执行过程并完成程序设计-Understand the association rules in data mining applications, understand and grasp the classic association mining algorithm Apriori algorithm and implementation of the basic principles of the process and complete the program design Platform: |
Size: 232448 |
Author:cdd |
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Description: 关联规则挖掘的研究工作主要包括：Apriori算法的扩展、数量关联规则挖掘、关联规则增量式更新、无须生成候选项目集的关联规则挖掘、最大频繁项目集挖掘、约束性关联规则挖掘以及并行及分布关联规则挖掘算法等，其中快速挖掘与更新频繁项目集是关联规则挖掘研究的重点，也是多种数据挖掘应用中的技术关键，已用于分类规则挖掘和网络入侵检测等方面的研究。研究者还对数据挖掘的理论进行了有益的探索，将概念格和粗糙集应用于关联规则挖掘中，获得了显著的效果。到目前为止，关联规则的挖掘已经取得了令人瞩目的成绩，包括：单机环境下的关联规则挖掘算法；多值属性关联规则挖掘；关联规则更新算法；基于约束条件的关联规则挖掘；关联规则并行及分布挖掘算法等。-Association rule mining research work include: Apriori algorithm for the expansion of the number of association rules mining, incremental updating of association rules, there is no need to generate candidate itemsets of association rule mining, maximal frequent itemsets mining, association rule mining binding, as well as parallel and Distribution of association rule mining algorithm, one of the rapid mining frequent itemsets and updating of association rules mining are the focus of the study, but also a variety of data mining technology in key applications, has been used in classification rules mining and network intrusion detection studies. The researchers also carried out the theory of data mining has made useful explorations, to concept lattice and rough sets in association rule mining applied to obtain significant results. So far, the mining association rules has made remarkable achievements, including: stand-alone environment for mining association rules algorithm many associatio Platform: |
Size: 2056192 |
Author:henry |
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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: 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: 介绍了数据挖掘中关联规则的基本概念和方法, 进一步讨论和研究了关联规则在图书馆读者文献借阅历史数据分析中的应用。用Apriori关联挖掘算法能挖掘出隐藏在历史数据背后的有用的规则和潜在的信息, 这将有利于为读者提供个性化服务和对图书馆的服务提供决策支持。-Introduces the basic concepts and methods of association rules in data mining, further discussion and the research of association rules in the library readers literature borrows the application of the historical data analysis. Using Apriori algorithm for mining association can dig out the hidden history data useful rules and potential information, which will be conducive to provide personalized service for readers and provide decision support for library services
Platform: |
Size: 279552 |
Author:邱亚茹 |
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