Data Mining Principles and Technology

Author: Zhang Yuntao
Publisher:
Publish Date: 2004-04-01
Features: Data mining is an interdisciplinary field that integrates theories and technologies from multiple areas such as databases, artificial intelligence, machine learning, and statistics. Data mining is the process of discovering models and relationships between data using various analytical tools, and these models and relationships can be used for prediction. It helps decision-makers find potential correlations in data and uncover overlooked factors, making it an effective method to address the problem of data explosion with information scarcity in the modern era. Data mining transforms data into knowledge and is one of the most active branches of research, development, and application in data management and information processing. This book comprehensively discusses the fundamental concepts, principles, and methods of the data mining field, covering both classic theories and cutting-edge developments. The book is divided into 14 chapters and includes 1 appendix. It systematically introduces the concepts and processes of data mining, as well as data preprocessing techniques. It thoroughly explores various data mining techniques, including association rules, decision trees, clustering, case-based learning, Bayesian learning, rough sets, neural networks, genetic algorithms, and statistical analysis. It also discusses typical applications of data mining, such as classification, text mining, and Web mining, as well as the application and development trends of data mining. Additionally, Chapter 14 provides a specific example of a business intelligence solution. Through studying this book, readers will gain an in-depth understanding and recognition of the overall structure, concepts, principles, techniques, and development of data mining. This book comprehensively discusses the fundamental concepts, principles, and methods of the data mining field, with a focus on classic theories and cutting-edge developments in the field.