Data mining technology

Author: Zhu Yuquan
Publisher:
Publish Date: 2006-11-01
Features: Advances in data collection and storage technologies have led to the increasing scale of data. Data is a valuable information resource, similar to a mine, which can only be transformed into usable wealth through operations such as management, analysis, mining, and refining. This book systematically introduces the origin, development, applications, and related principles and algorithms of data mining technology. Its main contents include: fundamental knowledge of data mining, data mining processing workflows, data warehouses and online analytical processing (OLAP), association rule discovery methods, sequence pattern mining methods, decision tree classification methods, Bayesian classification methods, various clustering methods, web mining, and the application of classification methods in medical imaging. This book incorporates the author's many years of research achievements in data mining. It can serve as a textbook for senior undergraduate and graduate students in computer science, automation, biomedical engineering, and other related fields, as well as a reference for researchers, designers, and developers who need to understand data mining methods and technologies.