Libros UCLV { BETA }

Chapter 1 Introduction Statistics is fundamentally concerned with the understanding of structure in data. One of the effects of the information-technology era has been to make it much easier to collect extensive datasets with minimal human intervention. Fortunately, the same technological advances allow the users of statistics access to much more powerful ‘calculators’ to manipulate and display data. This book is about the modern developments in applied statistics that have been made possible by the widespread availability of workstations with high-resolution graphics and ample computational power. Workstations need software, and the S 1 system developed at Bell Laboratories (Lucent Technologies, formerly AT&T) provides a very flex- ible and powerful environment in which to implement new statistical ideas. Lu- cent’s current implementation of S is exclusively licensed to the Insightful Cor- poration 2 , which distributes an enhanced system called S-PLUS . An Open Source system called R 3 has emerged that provides an independent implementation of the S language. It is similar enough that almost all the exam- ples in this book can be run under R .

R data mining machine learning analytics

Chapter 1 Introduction This book introduces into using R for data mining. It presents many examples of various data mining functionalities in R and three case studies of real world applications. The supposed audience of this book are postgraduate students, researchers and data miners who are interested in using R to do their data mining research and projects. We assume that readers already have a basic idea of data mining and also have some basic experience with R. We hope that this book will encourage more and more people to use R to do data mining work in their research and applications. This chapter introduces basic concepts and techniques for data mining, including a data mining process and popular data mining techniques. It also presents R and its packages, functions and task views for data mining. At last, some datasets used in this book are described.