Data Mining With R: Learning By Case Studies 论文

2010引用 408
Data Mining Algorithms and ApplicationsData Stream Mining TechniquesImbalanced Data Classification Techniques

摘要

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- List of Figures -- List of Tables -- 1:Introduction -- 1.1 How to Read This Book -- 1.2 Reproducibility -- I R and Data Mining -- 2: Introduction to R -- 2.1 Starting with R -- 2.2 Basic Interaction with the R Console -- 2.3 R Objects and Variables -- 2.4 R Functions -- 2.5 Vectors -- 2.6 Vectorization -- 2.7 Factors -- 2.8 Generating Sequences -- 2.9 Sub-Setting -- 2.10 Matrices and Arrays -- 2.11 Lists -- 2.12 Data Frames -- 2.13 Useful Extensions to Data Frames