Spectral Analysis of Complex Data: Data Mining Enhancements Using the Spectral Characteristics of Data

Wenyuan Li

ISBN 10: 3639175433 / ISBN 13: 9783639175431

Published by VDM Verlag 2009-07-05, 2009

About this Item

Seller Inventory # 6666-IUK-9783639175431

Bibliographic Details

• Title: Spectral Analysis of Complex Data: Data Mining Enhancements Using the Spectral Characteristics of Data
• Publisher: VDM Verlag 2009-07-05
• Publication Date: 2009
• Language: English
• ISBN 10: 3639175433
• ISBN 13: 9783639175431
• Binding: Paperback
• Condition: New

About this title

Synopsis

Although data mining has made major advancements since it was first introduced, algorithms capable of handling data with complex characteristics, e.g., high dimensionality, complex graph structures, etc., are only making mainstreams in recent years. Creating such algorithms for complex data presents various challenges, many of which can be overcame by understanding the data characteristics via spectral decomposition. This book aims to study the spectral characteristics of data so that they can be exploited by specific applications to achieve better results. The book will address how spectral information can be integrated into the needs of different analytical tasks and hence, shed some light on this exciting field. The book would be useful to professionals and researchers in data mining and information analysis, or anyone else who are interested in utilizing matrix computation techniques in complex data analysis.

About the Author

Wenyuan Li, PhD: Studied Machine Learning, Data Mining, and Computational Biology at Nanyang Technological University, Singapore. Research Scientist at University of Southern California.