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Titlebook: Robust Data Mining; Petros Xanthopoulos,Panos M. Pardalos,Theodore B. Book 2013 Petros Xanthopoulos,Panos M. Pardalos,Theodore B. Trafali

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2190-8354 es supplementary material: .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 e
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Book 2013 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 minin
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SpringerBriefs in Optimizationhttp://image.papertrans.cn/r/image/831300.jpg
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Least Squares Problems,In this chapter we provide an overview of the original minimum least squares problem and its variations. We present their robust formulations as they have been proposed in the literature so far. We show the analytical solutions for each variation and we conclude the chapter with some numerical techniques for computing them efficiently.
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gs- und Familienpanels (pairfam/DemoDiff), des Projektes Aufwachsen in Deutschland: Alltagswelten (AID:A) sowie des European Social Surveys) rekonstruieren wir den kohortenspezifischen Wandel des Auszugsalters in Deutschland im europäischen Vergleich. Es zeigt sich, dass die Ergebnisse der unterschi
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