Data Mining (Second Edition)

Author: (New Zealand) Witten (Witten, I.H.)
Publisher:
Publish Date: 2006-07-01
Features: This book introduces the basic theory and practical methods of data mining. The main contents include various models (decision trees, association rules, linear models, clustering, Bayesian networks, and neural networks) and their applications in practice, as well as an analysis of their limitations. It also provides methods for securely cleaning datasets, building, and evaluating the predictive quality of models, and introduces the publicly available data mining platform Weka. The Weka system features a graphical user interface for performing data mining tasks, which helps in understanding the models, making it a practical and widely popular tool. The book is logically rigorous, comprehensive in content, and highly practical, making it suitable as a textbook for undergraduate or graduate students in higher education, as well as a reference for relevant technical professionals.