Data Mining Algorithms and Their Engineering Applications

Author: Zhang Jing, Zhang Xiaogang
Publisher:
Publish Date: 2006-06-01
Features: With the widespread application of database technology in the field of engineering, post-analysis and processing of engineering data have broad application prospects. This book takes various data mining algorithms as its core, with the development history of intelligent data analysis technology as its main thread. Combining the authors' own research and application experience, it elaborates in detail on mature algorithms from research fields such as mathematical statistics, machine learning, soft computing, association mining, and support vector sets. It also explores the practical applications of various methods in engineering fields such as industrial process control, intelligent monitoring of turbine speed regulation, and logistics distribution vehicle route optimization, enabling readers to understand the application objects, methods, and effects of various technologies. The book is rich in content, concise in explanation, and emphasizes the analysis and application of specific mining algorithms, striving to achieve a transition in the application of data mining technology from commercial to engineering fields. It can serve as a teaching reference for postgraduate students and undergraduates in relevant engineering disciplines, as well as a self-study guide for engineering technicians.