Data Mining Algorithms: Explained Using R

Acknowledgements

With the rise and rapidly growing popularity of online idea sharing methods, such as blogs and wikis, traditional books are no longer the only way of making large portions of text available to a wide audience. The former are particularly suitable for collaborative or social writing and readings undertakings, often with mixed reader–writer roles of particular participants. For individual writing and reading efforts the traditional book form (although not necessarily tied to the paper media) still remains the best approach. On one hand, it clearly assigns full and exclusive responsibility for the contents to the author, with no easy excuses for errors and other deficiencies. On the other hand, there are several other people engaged in the publishing process who help to give the book its final shape and protect the audience against a totally flawed work.

As the author of this book, I feel indeed totally responsible for all its imperfections, only some which I am aware of, but I have no doubts that there are many more of them. With that being said, several people from the editorial and production team worked hard to make the imperfect outcome of my work worth publishing. My thanks go, in particular, to Richard Davies, Prachi Sinha Sahay, Debbie Jupe, and Kay Heather from Wiley for their encouragement, support, understanding, and reassuring professionalism at all stages of writing and production. Radhika Sivalingam, Lincy Priya, and Yogesh Kukshal did their best to ...