Spectral Analysis of Complex Data

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Details

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.

Autorentext

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


Klappentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783639175431
    • Sprache Englisch
    • Jahr 2009
    • EAN 9783639175431
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-639-17543-1
    • Titel Spectral Analysis of Complex Data
    • Autor Wenyuan Li
    • Untertitel Data Mining Enhancements Using the Spectral Characteristics of Data
    • Herausgeber VDM Verlag
    • Anzahl Seiten 172
    • Genre Informatik

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