搜索资源列表
数据挖掘算法(Apriori)
- 数据挖掘算法(Apriori)--JAVA实现-(Apriori)--JAVA
java数据挖掘算法
- 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
Apriori.数据挖掘关联规则算法
- 数据挖掘关联规则算法：Apriori算法源代码，采用JAVA语言实现,Data mining algorithm of association rules: Apriori algorithm source code, the use of JAVA language
weka-src.rar
- 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
数据挖掘分类算法：J48源代码
- 数据挖掘分类算法：J48源代码，采用JAVA语言编程实现-Data mining classification algorithms: J48 source code, the use of JAVA programming language
DataCleaning_bin
- 一个实用的数据清洗软件，是数据挖掘的主要工作之一。用JAVA开发的。-A practical data cleansing software, is one of the main data mining. Developed with JAVA.
fptreejava
- FP树的ＪＡＶＡ版本，分布式数据挖掘算法可能会用到．-fptree
kmeans
- 基本的数据聚类算法，可以进行快速有效的数据聚类，可以有效地进行数据挖掘-Basic data clustering algorithm, can be fast and effective data clustering, data mining can be effectively
1000000007
- 数据挖掘分类算法id3的java语言实现-data mining classification algorithm id3 the java language
shujuwajuesuanfa
- 基于数据挖掘的决策树改进算法和贝叶斯改进算法，很有用的-Based on data mining and Bayesian Decision Tree Algorithm to improve the algorithm, very useful
dbscan
- 数据挖掘,聚类分析,DBSCAN JAVA的实现, -Data mining, clustering analysis, DBSCAN JAVA realization
weka-src
- Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等-Java to prepare a variety of data mining algorithms, including clustering, classification, preprocessing, etc.
datamining
- 数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
alphaminer
- 数据挖掘平台，界面和友好，使用很方便，和weka类似-Data mining platform, and friendly interface, very easy to use, and similar weka
rapidminer-4.2-javadoc
- 数据挖掘方面最新软件，采用Java开发，能处理XML文档！-data mining Tool for java, XML
java鏁版嵁鎸栨帢
- 数据挖掘算法java实现 c45,kmeans,fss,id3(Data mining algorithm java implementation, which contains a variety of data mining algorithms, should be a good reference document.)
数据挖掘实验1
- 这个实验报告完成数据的预处理和分类操作，用数据挖掘完成中医的药材分类和提炼，是方剂学的的有关的药材种类的提取。(This report is about data mining, it can classify the different kinds of medicine.)
数据挖掘2
- 本实验文档包括了数据挖掘的分类算法，FP-growth和Apriori 算法的java程序设计实现。(This report is about the classification algorithm, it contains FP-growth algorithm and Apriori algorithm.)
数据挖掘3
- 本实验主要包括了数据挖掘的ID3和 KNN算法。(This report is manily about the Data Mining algorithm, includes the ID3 algorithm and KNN algorithm.)
数据挖掘4
- 本实验主要涉及数据挖掘的实现 K-means和DBSCAN聚类算法,完成对中医数据的处理。(This report is mainly about the Data Mining algorithm, includes K-means and DBSCAN algorithm.)