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: 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: id3算法的java实现，《机器学习及java实现》一书里面的-id3 algorithm java to achieve, machine learning and java to achieve a book inside Platform: |
Size: 3072 |
Author:王新 |
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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: 该代码是数据挖掘里面的决策树算法 利用c45理论，通过对训练数据的分析判断，计算出各个数据的其它对目标属性的重要程度，即计算出每个其它数据的信息增益值来将训练数据逐步分类，最后得出目标分类，从而实现决策树的生成过程。最后即可利用此决策树来对新的数据进行测试，判断其目标属性的可能值。-The code is a data mining using decision tree algorithm inside the C45 theory, through the analysis of training data to calculate all the other data attributes on the target level of importance, that is, every other data to calculate the information gain value of the training data Category gradually came to the conclusion that the target classification, in order to realize the process of decision tree generation. Finally you can use this decision tree to test the new data to determine its target attributes possible values. Platform: |
Size: 769024 |
Author:zkm |
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Description: 本程序是一个用java语言开发的apriori算法的源代码，该算法主要用于数据挖掘。-This procedure is developed using java language apriori algorithm source code, the algorithm is mainly used for data mining. Platform: |
Size: 41984 |
Author:buzhidao |
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Description: 利用Java实现的K-均值算法，K-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large number of data points in the high latitudes to find representative data points these data points can be called cluster center, the representative point then these groups center, follow-up treatment can be used for data mining in the cluster analysis Platform: |
Size: 2048 |
Author:阚涛 |
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Description: Insurance trade system using data mining algorithm , in this system we take a survey of insurance policy and present in bar chat-Insurance trade system using data mining algorithm , in this system we take a survey of insurance policy and present in bar chat... Platform: |
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Author:sivaganesh |
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Description: Mining the E-commerce Data to Analyze the Target Customer Behavior is developed in Java. It clusters customer segments by using K-Means algorithm and data from web log of various e-commerce websites. Consequently, the results showed that there was a clear distinction between the segments in terms of customer behavior. It is seen that this data mining model can serve as an efficient vehicle for firms not only to predict the products or services that should be provided or improved for their target customer groups, but also to identify the right customers for a specific product family or service . Platform: |
Size: 416768 |
Author:Balaji |
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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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Description: 数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate the results of clustering. Algorithm using java, DBLP data collection and pre-treatment is written in Python. Platform: |
Size: 113664 |
Author:peijun |
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Description: 数据挖掘kmeans图像聚类实验,用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码-Data mining kmeans image clustering experiments, using VC or Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (of your choice) as the data set to compare the running time (painting graph of the relationship between time and the pixel is therefore subject to the number of pixels to experiment with different pieces of the picture) to submit test reports and source code Platform: |
Size: 4153344 |
Author:吴娟 |
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Description: 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful Platform: |
Size: 3072 |
Author:李煜 |
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