Data Mining
About
This book provides a practical introduction to applying data mining techniques using R, focusing on implementing and interpreting key algorithms without complex model tuning.
This book takes a data mining-oriented perspective, guiding readers through the basic workflow of data preprocessing, modeling, and result interpretation. It is designed to be approachable for beginners, with clear explanations and example-based demonstrations.
Key features of the book include:
- Conceptual overviews and practical motivations behind each algorithm
- A step-by-step analysis process in R: from preprocessing to modeling and evaluation
- Application of algorithms using default settings, without hyperparameter tuning
- Example code using real-world datasets
- Simple interpretation of analysis results
This book is intended for students, graduate researchers, data analysis beginners, and practitioners, focusing more on practical implementation and interpretation than on theoretical depth or algorithmic comparisons.
By prioritizing understanding the structure of the data and following a consistent analysis workflow, readers will gain the ability to independently apply fundamental data mining techniques using R in real-world settings.