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: java数据挖掘算法，里面有c45,chc,fss,id3,nb等方面的算法，及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code Platform: |
Size: 450560 |
Author:徐高波 |
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Description: 本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank Platform: |
Size: 240640 |
Author:李雪 |
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Description: java语言实现的一个在数据挖掘中能图形化显示决策树分类结果的程序。-java language of a data mining can display graphical decision tree classification procedures. Platform: |
Size: 145408 |
Author:郭勇 |
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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: 数据挖掘的一个研究方向,此书中介绍了数据挖掘的基本概念以及weka的用法-a data mining research, the book introduces the Data Mining and the basic concept of the usage weka Platform: |
Size: 5420032 |
Author:无影 |
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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: 用于快速分类，图像，人脸识别，等，在机器学习，人工只能，数据挖掘领域有较多的使用。-for rapid classification of images, face recognition, etc., in machine learning, artificial only. Data mining areas with more use. Platform: |
Size: 7168 |
Author:fastlight |
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Description: Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features Platform: |
Size: 64512 |
Author:zhaoyingjie |
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Description: 这是一个由java实现的数据挖掘，以前收集。里面有英文技术文档-This is a java achieved by data mining, previously collected. There are English technical documentation Platform: |
Size: 3986432 |
Author:王文川 |
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Description: 经典的ID3，只要是学数据挖掘的都知道的哦。这是一个ID3java版本。-Classic ID3, as long as they are data mining are all aware of, oh. This is a version of ID3java. Platform: |
Size: 60416 |
Author:师帅 |
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Description: 用java编写的数据挖掘的相关算法，包括id3，C4.5,NB等，不知道对大家是否有帮助，第一次传-Prepared using java data mining algorithms, including id3, C4.5, NB, etc., I do not know whether or not to have to help everyone, the first mass Platform: |
Size: 246784 |
Author:zkm |
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