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Robust Data Mining by Xanthopoulos Petros (12 results)
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Condition: New.
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Robust Data Mining (SpringerBriefs in Optimization)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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PF. Condition: New.
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Condition: New. pp. 72.
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Paperback. Condition: Brand New. 2013 edition. 71 pages. 9.00x6.00x0.25 inches. In Stock.
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Condition: New.
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Robust Data Mining
Published by Springer New York, Springer New York Nov 2012, 2012
ISBN 10: 1441998772 ISBN 13: 9781441998774
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise.This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field ofrobust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems.Thisbrief will appeal to theoreticians and data miners working in this field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 72 pp. Englisch.
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Robust Data Mining
Published by Springer New York, Springer New York, 2012
ISBN 10: 1441998772 ISBN 13: 9781441998774
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise.This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field.
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Taschenbuch. Condition: Neu. Robust Data Mining | Petros Xanthopoulos (u. a.) | Taschenbuch | xii | Englisch | 2012 | Springer US | EAN 9781441998774 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Robust Data Mining
Published by Springer New York Nov 2012, 2012
ISBN 10: 1441998772 ISBN 13: 9781441998774
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise.This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field. 72 pp. Englisch.
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Condition: New. Print on Demand pp. 72 6 Illus.
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Condition: New. PRINT ON DEMAND pp. 72.
