Data Mining -- Principles and Algorithms

Author: Shao Fengjing, Yu Zhongqing (editors)
Publisher:
Publish Date: 2003-01-01
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 in detail. 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 concept of data warehousing technology and presents the theoretical foundation of data cubes. Chapter 3 discusses the concepts and algorithms involved in data preprocessing for data mining. Chapters 4 to 8 provide detailed introductions to the algorithms of classic fields in data mining, with Chapter 6 briefly covering the content of data visualization. Chapter 9 introduces open data mining platforms. The target audience for this book includes senior undergraduate and graduate students, as well as advanced software developers in various fields.