Principles and Algorithms of Data Mining

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 presents classic algorithms from a practical perspective. This book is a highly practical textbook in China that provides a detailed description of the fundamental algorithms of data mining technology. Chapter 1 introduces data mining from different perspectives, Chapter 2 explains the concepts of data warehouse technology and provides the theoretical foundation of data cubes. Chapter 3 discusses the concepts and algorithms involved in data preprocessing for data mining. Chapters 4-8 provide detailed introductions to the algorithms of classic data mining fields, with Chapter 6 offering a brief overview of data visualization. Chapter 9 covers 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.