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.
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