rminer - A open-source library that facilitates the use of Data Mining

techniques in R

This package was used in several Data Mining applications: intensive care medicine, meat and wine quality assessment, civil engineering, forest fires prediction, modeling student performance, time series forecasting, spam e-mail detection, ... Also available at Comprehensive R Archive Network (CRAN).

Springer Book: Modern Optimization with R (R code, data, ...)

Free public datasets what I studied:

1. -Forest Fires (regression, donated to the UCI Machine Learning (ML) repository).     

   

   
   

2. -WineQuality (regression/classification) donated to the UCI ML repository).
   

3. -S-Enron corpus (personalized spam e-mail classification).
   

4. -Bank Marketing (classification, donated to UCI ML repository).
   

5. -Internet Traffic Time Series Datasets (also available at tsdl R package - index 643 to 648).
   

6. -Input importance synthetic datasets.
   

7. -Student Performance (regression/classification, donated to the UCI ML repository).
   

8. -Stock Market Lexicon (with more than 20.000 microblog terms associated with positive or negative scores, available at GitHub).
   

9. -Online News Popularity (regression/classification, donated to the UCI ML repository).
   

10. -CS Abstracts Dataset (sequential classification).
    

11. -Twitter-country-geolocation (classification).
    

12. -Cross-source cross-domain sentiment analysis (classification).