###Notes:
##1. [The book of this project can be found at the site of Packt Publishing Limited] (https://www.packtpub.com/big-data-and-business-intelligence/learning-data-mining-r)
##2. Every algorithm will be provided in five levels of difficulty.
(1). Level 1 is the basic form for reader to understand the algorithm in a straight way.
(2). Level 2 is the beyond form for reader to use in work, in which the algorithm in serialized implementation, based on the ordinary available R packages.
(3). Level 3 is the beyond form for reader to use in work, in which the algorithm in serialized implementation, based on my own contributed R packages to CRAN.
(4). Level 4 is the advanced form for readers to use in work, in which the algorithm in an parallelized implementation, based on the ordinary available R packages and solutions.
(5). Level 5 is the advanced form for readers to use in work, in which the algorithm in an parallelized implementation, based on my own contributed R packages to CRAN.
the file names for the sorce codes are suffixed with *_basic.R, *_beyond1.R, *_beyond2.R, *_advanced1.R, *_advanced2.R respectively w.r.t. above 5 levels.
##3. Target for a brand new data mining framework
![Learning Data Mining with R] (https://d1ldz4te4covpm.cloudfront.net/sites/default/files/imagecache/ppv4_main_book_cover/1692_Learning%20Data%20mining%20with%20R_cov.jpg)
