Description: 关联规则中的频繁项集生成算法genmax，可在linux和windows下编译运行，可能不太容易看懂。-association rules of frequent item sets genmax generation algorithm, and the Linux compiler running under windows, it may not be easy to understand. Platform: |
Size: 38912 |
Author:龙行天下 |
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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: 关联规则挖掘数据产生程序.VISUAL C++
可产生满足要求的挖掘数据.-Data Mining Association Rules have procedures. VISUAL C can be produced to meet the requirements of data mining. Platform: |
Size: 23552 |
Author:徐益军 |
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Description: 编码格式转换工具主要用于关联规则挖掘实验数据的预处理，转换训练集中事务编码格式，可在整数型编码、布尔型编码及序数型编码之间转换。-encoding format conversion tools used mainly Mining Association Rules experimental data preprocessing, conversion training would focus Services Coding format, the integer-coding, coding and Boolean-type number-coding sequence between conversion. Platform: |
Size: 1011712 |
Author:章明 |
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Description: 20世纪，随着计算机科学的发展，数据库技术在Internet 中的应用越来越广泛，为广大网络用户提供了更加周到和人性化的服务。个性化已逐渐成为当今Wed应用的潮流。本文研究了一种基于数据关联规则采集技术的用户个性化页面动态生成方案，此方案与现今网上已采用的一些方案相比，具有用户使用更简单、反映用户更明显细致等优点。-the 20th century, with the development of computer science. database technology of the Internet is widely applied the majority of network users with a more thoughtful and humane services. Personalized has gradually become Wed application trend. In this paper, an association rules based on data acquisition technology users personalized pages are dynamically generated, this program with the current use of the Internet has been compared to some of the options that users with more simple, users reflect more obvious advantages meticulous. Platform: |
Size: 26624 |
Author:莫云 |
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Description: 一篇关于关联规则的论文，值得下载作为参考-an association rules on paper, it is worth the download as reference Platform: |
Size: 721920 |
Author:maomao |
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Description: 关联规则挖掘发现大量数据中项集之间有趣的关联或相关联系，管理员要通过啊，我很努力的找的啊-Mining Association Rules found a large quantity of data between Itemsets interesting correlation or relevance, administrators should ah, I worked hard to find the ah Platform: |
Size: 5120 |
Author:zhou tian |
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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: 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: 关于apriori算法的一个小程序，用于数据挖掘关联规则，呵呵．-apriori algorithm on a small procedures for data mining association rules, Ha ha. Platform: |
Size: 2048 |
Author:xujing |
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Description: 数据挖掘中关联规则的经典算法Apriori算法源代码，可以连接到数据库-Data Mining Association Rules classical algorithm Apriori algorithm source code, can be connected to the database Platform: |
Size: 75776 |
Author:dx |
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Description: IBM实验室提供的数据集生成器源码，可以数据挖掘中经常使用的关联规则数据集。-IBM laboratory data sets provided by the generator source, Data mining can be used in the association rules data sets. Platform: |
Size: 17408 |
Author:szg |
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