Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core … Mehr…
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Data Mining: Foundations and Intelligent Paradigms : VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects - neues Buch
ISBN: 9783642232411
Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, B… Mehr…
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2012, ISBN: 9783642232411
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Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects, eBooks, eBook Download (PDF), 2012, [PU: Springer Berlin], Seiten: 250, Springer Berlin, 2011
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Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects, eBooks, eBook Download (PDF), 2012, [PU: Springer Berlin], Springer Berlin, 2011
lehmanns.de Versandkosten:Download sofort lieferbar. (EUR 0.00) Details... |
Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core … Mehr…
Bob F. Caviness:
Data Mining: Foundations and Intelligent Paradigms : VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects - neues BuchISBN: 9783642232411
Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, B… Mehr…
2012
ISBN: 9783642232411
Data Mining: Foundations and Intelligent Paradigms ab 130.99 EURO VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects. Auflage 2012 Medien > Bücher, [PU: Springer, … Mehr…
Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects, eBooks, eBook Download (PDF), 2012, [PU: Springer Berlin], Seiten: 250, Springer Berlin, 2011
Data Mining: Foundations and Intelligent Paradigms - neues Buch
2011, ISBN: 9783642232411
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects, eBooks, eBook Download (PDF), 2012, [PU: Springer Berlin], Springer Berlin, 2011
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Detailangaben zum Buch - Data Mining: Foundations and Intelligent Paradigms
EAN (ISBN-13): 9783642232411
ISBN (ISBN-10): 3642232418
Erscheinungsjahr: 2011
Herausgeber: Springer Berlin
250 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-12-04T22:04:21+01:00 (Vienna)
Detailseite zuletzt geändert am 2021-03-24T18:00:31+01:00 (Vienna)
ISBN/EAN: 3642232418
ISBN - alternative Schreibweisen:
3-642-23241-8, 978-3-642-23241-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: holmes, holm, holme, dawn
Titel des Buches: intelligent, data mining
Daten vom Verlag:
Autor/in: Dawn E. Holmes; Lakhmi C Jain
Titel: Intelligent Systems Reference Library; Data Mining: Foundations and Intelligent Paradigms - VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Verlag: Springer; Springer Berlin
250 Seiten
Erscheinungsjahr: 2011-11-09
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XIV, 250 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Computational Intelligence; Data Mining; Health Informatics; Intelligent Systems; C; Computational Intelligence; Artificial Intelligence; Health Informatics; Engineering; Computeranwendungen in Industrie und Technologie; BC
From the content: Data Mining with Multilayer Perceptrons and Support Vector Machines.- Regulatory Networks under Ellipsoidal Uncertainty - Data Analysis and Prediction by Optimization Theory and Dynamical Systems.- A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid.- Formal framework for the Study of Algorithmic Properties of Objective Interestingness Measures.- Nonnegative Matrix Factorization: Models, Algorithms and Applications.- Visual Data Mining and Discovery with Binarized Vectors.contains the latest research on data mining research and its applications to health informatics The state of the art of data mining for health informatics is presented in a handbook style Written by leading experts in this field
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