Weka

2017年7月7日 (五) 02:26的最后版本

您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia.

Weka - Open Source Data Mining

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

[编辑] 简介

Weka: Machine learning software to solve data mining problems

[编辑] 指南

[编辑] 项目

Weka Related Projects

MOA - Massive Online Analysis
Meka: A Multi-label Extension to Weka
OpenSubspace: Weka Subspace-Clustering Integration
Auto-WEKA
Weka on Spark
Matlab Weka Interface
Weka Packages
wekaDeeplearning4jCPU: Weka wrappers for Deeplearning4j

[编辑] 中文化

[编辑] 文档

[编辑] 书籍

数据挖掘:实用机器学习工具与技术(原书第3版)

[编辑] 图集

数据挖掘
包管理器

[编辑] 链接

@@ 第19行： / 第19行： @@
 *[https://github.com/ariskk/distributedWekaSpark Weka on Spark]
 *[https://www.mathworks.com/matlabcentral/fileexchange/21204-matlab-weka-interface Matlab Weka Interface]
+*[http://weka.sourceforge.net/packageMetaData/ Weka Packages]
+*[http://weka.sourceforge.net/packageMetaData/wekaDeeplearning4jCPU/index.html wekaDeeplearning4jCPU]: Weka wrappers for [[Deeplearning4j]]
 ==中文化==
@@ 第40行： / 第42行： @@
 *[http://docs.huihoo.com/weka/ Weka文档]
 *[http://docs.huihoo.com/javadoc/weka/ Weka Javadoc]
-*[http://download.huihoo.com/weka/ Weka本地下载]
+*[http://wiki.pentaho.com/display/DATAMINING/Pentaho+Data+Mining+Community+Documentation Pentaho Data Mining Community Documentation]
 [[category:business intelligence]]