这是北京大学北京大学软件与微电子学院莫同老师数据挖掘课程复习资料

该软件包包含3个插件：Excel表分析工具、Excel数据挖掘客户端和Visio数据挖掘模板。 运行Analysis Services后，就可以安装该插件了。

最新版的Data Mining: Practical Machine Learning Tools and Techniques，Weka的配套教材

Mulan是Weka的一个扩展，可以支持多标签的数据挖掘，并且包含各种算法，算法里面还标注了作者和对应的论文，是数据挖掘必备工具！

This book is aimed at two complementary audiences: • Intermediate R programmers who want to dive deeper into R and learn more strategies for solving diverse problems • Programmers from other languages who are learning R, and want to understand why R works the way it does. To get the most out of this book, you will need to have written a decent amount of code in either R or other programming languages. You should be familiar with how functions work in R, although you might not know all the details, and you should be somewhat familiar with the apply family of functions (like apply() and lapply()), although you may currently struggle to use them effectively.

java数据挖掘工具包，包含聚类、分类、回归等工具

数据挖掘实验报告、基于R语言实现，包括数据、算法描述、代码、实验分析、软件Rstudio等内容，分类算法包括随机森林、Adaboosting、K近邻、神经网络、支持向量机、朴素贝叶斯等，聚类算法包括K-Means聚类、层次聚类、SOM网络聚类和关联规则。

Data Mining: Concepts and Techniques 3rd第三版原文 带书签Data Mining: Concepts and Techniques 3rdData Mining: Concepts and Techniques 3rdData Mining: Concepts and Techniques 3rd

数据挖掘概念与技术_课后题答案汇总，有助于大家对数据挖掘知识的掌握与巩固

数据挖掘k-means k-medoids python代码实现 含测试数据