Modern data analysis

Author: Wu Jinpei
Publisher:
Publish Date: 2006-02-01
Features: This book comprehensively elaborates on the fundamental theories, methods, implementation techniques, and applications of modern data analysis, reflecting the new developments in data analysis. It is divided into 8 chapters, providing detailed discussions on topics such as data reduction, classification, clustering, fitting, optimization, prediction, and low-probability data mining. The book aims to construct a new platform for data analysis, helping readers master higher-level data analysis techniques to solve more complex practical problems. This book can serve as a reference textbook for senior undergraduate and graduate students in related fields such as information science, computer technology, control engineering, and management science in higher education institutions. It is also suitable for (a broad range of science and technology professionals) for learning and reference. This book comprehensively elaborates on the fundamental theories, methods, implementation techniques, and applications of modern data analysis, reflecting the new developments in data analysis. It is divided into 8 chapters, providing detailed discussions on topics such as data reduction, classification, clustering, fitting, optimization, prediction, and low-probability data mining. The book aims to construct a new platform for data analysis, helping readers master higher-level data analysis techniques to solve more complex practical problems. This book can serve as a reference textbook for senior undergraduate and graduate students in related fields such as information science, computer technology, control engineering, and management science in higher education institutions. It is also suitable for (a broad range of science and technology professionals) for learning and reference.