Data Mining Principles and Algorithms

Author: Shao Fengjing
Publisher:
Publish Date: 2003-08-01
Features: Data mining technology is a rapidly developing interdisciplinary field in recent years both domestically and internationally, involving multiple disciplines such as databases, statistics, artificial intelligence, and machine learning. Based on an introduction to the principles of data mining, this book provides a detailed and practical explanation of classic data mining algorithms. This book is a highly practical textbook in China that offers an in-depth description of the fundamental algorithms of data mining technology. Chapter 1 introduces data mining from different perspectives, Chapter 2 explains the concept of data warehouse technology and presents the theoretical foundation of data cubes. Chapter 3 covers the concepts and algorithms involved in data preprocessing for data mining. Chapters 4 to 8 provide detailed introductions to the algorithms of classic data mining domains, with Chapter 6 offering a brief overview of data visualization. Chapter 9 discusses open data mining platforms. The intended audience for this book includes senior undergraduate and graduate students, as well as advanced software developers in various fields.