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Published by VDM Verlag 2009-07-05, 2009
ISBN 10: 3639175433 ISBN 13: 9783639175431
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Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639175433 ISBN 13: 9783639175431
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Taschenbuch. Condition: Neu. Spectral Analysis of Complex Data | Data Mining Enhancements Using the Spectral Characteristics of Data | Wenyuan Li | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639175431 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639175433 ISBN 13: 9783639175431
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li WenyuanWenyuan Li, PhD: Studied Machine Learning, Data Mining, andnComputational Biology at Nanyang Technological University,nSingapore. Research Scientist at University of Southern California.Although data mining has made maj.
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639175433 ISBN 13: 9783639175431
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.