Spectral Analysis of Complex Data » książka
Spectral Analysis of Complex Data
ISBN-13: 9783639175431 / Angielski / Miękka / 2009 / 172 str.
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.
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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