Practical Data Mining

Author: Jodie
Publisher:
Publish Date: 2004-06-01
Features: This book provides a clear explanation of data mining methods for application, including classical multivariate statistical methods, Bayesian multivariate statistical methods, machine learning-based data mining methods, and computational data mining methods. It introduces many new research findings in the field of data mining, such as association rules, sequence rules, graphical Markov models, stored-based reasoning, credit risk, and Web mining. Additionally, it details six application examples selected from real-world industrial projects, emphasizing the practicality of data mining methods. This book is primarily aimed at senior undergraduate and graduate students in computer science, information management, applied statistics, and economics. It also serves as a valuable guide and reference for technical personnel engaged in the analysis and processing of large-scale data.