# Introduction_to_Data_Mining_R_Examples

**Repository Path**: lg21c/Introduction_to_Data_Mining_R_Examples

## Basic Information

- **Project Name**: Introduction_to_Data_Mining_R_Examples
- **Description**: R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar
- **Primary Language**: Unknown
- **License**: CC-BY-SA-4.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-24
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# R Code Examples for Introduction to Data Mining

<img src="book_small_e2.jpg" align="right">
<img src="book_small.jpg" align="right">

This repository contains documented examples in R to accompany several chapters of the popular data mining text book:

> Pang-Ning Tan, Michael Steinbach and Vipin Kumar, 
[_Introduction to Data Mining,_](http://www-users.cs.umn.edu/~kumar/dmbook) Addison Wesley, 2006 or 2017 edition.



The examples are used in my [data mining course](http://michael.hahsler.net/SMU/EMIS7332) at SMU and will be regularly updated and improved. 
All code is shared under the creative commons attribution license and you can
share and adapt them freely. Please contact [me](http://michael.hahsler.net) 
for corrections or improvements. 


## Covered Chapters

* Chapter 2: [Data](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap2.html)
* Chapter 2 (additional material): [Exploring Data](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap2_exploring.html)
* Chapter 3: [Classification: Basic Concepts, Decision Trees, and Model Evaluation](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap3.html)
([read sample book chapter 3](https://www-users.cs.umn.edu/~kumar001/dmbook/ch3_classification.pdf))
* Chapter 4: [Classification: Alternative Techniques](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap4.html) 
* Chapter 4 (additional material): [Comparison of decision boundaries](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap4_decisionboundary.html)
* Chapter 4 (additional material): [Deep Learning with keras](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap4_keras.html)
* Chapter 5: [Association Analysis](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap5.html) 
([read sample book chapter 5](https://www-users.cs.umn.edu/~kumar001/dmbook/ch5_association_analysis.pdf))
* Chapeter 5 (additional material): [Interactive visualization of association rules](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap5_interactive.html)
* Chapter 7: [Cluster Analysis](https://rawgit.com/mhahsler/Introduction_to_Data_Mining_R_Examples/master/chap7.html)
([read sample book chapter 7](https://www-users.cs.umn.edu/~kumar001/dmbook/ch7_clustering.pdf))


## License
![CC](https://i.creativecommons.org/l/by/4.0/88x31.png) Michael Hahsler

 This work is licensed under the
 [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). 
 
 For questions please contact
 [Michael Hahsler](http://michael.hahsler.net).