Spectral Analysis of Complex Data

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Although data mining has made major advancementssince it was first introduced, algorithms capable ofhandling data with complex characteristics, e.g., high dimensionality, complex graph structures, etc., are only making mainstreams in recent years. Creatingsuch algorithms for complex data presents variouschallenges, many of which can be overcame byunderstanding the data characteristics via spectraldecomposition. This book aims to study the spectralcharacteristics of data so that they can be exploitedby specific applications to achieve better results.The book will address how spectral information can beintegrated into the needs of different analyticaltasks and hence, shed some light on this excitingfield. The book would be useful to professionals andresearchers in data mining and information analysis, or anyone else who are interested in utilizing matrixcomputation techniques in complex data analysis.

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