Data mining with Rattle and R

摘要

In this book, Graham Williams presents the reader with a comprehensive treatment of data mining from data understanding and preparation through model development, evaluation and refinement to practical deployment. Structured in four main parts - exploration, model building, performance and appendices - the book provides a coherent link between data, tools, models and performance. The first seven chapters, focusing on the fundamentals of R and Rattle (a graphical interface for data mining using R), data formats, distributions and visualisation, highlight the R-Rattle exploratory power. Unsupervised and supervised modelling techniques are detailed in the second part of the book followed by performance assessment and deployment in the third Part. Deriving from this structure is one of the book's distinctive features: its focus on the hands-on end-to-end process of data mining using open source tools Rattle and R which makes it particularly interesting to both students and practitioners of data mining.