Titlebook: Rough – Granular Computing in Knowledge Discovery and Data Mining; Jarosław Stepaniuk Book 2008 Springer-Verlag Berlin Heidelberg 2008 Com

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.Dem Leser ohne Vorkenntnisse wird das Basiswissen über Hedg.Tatsächliche Performancedaten widerlegen zunehmend die Meinung, dass Hedgefonds gefährliche, exotische oder spekulative, hoch riskante und nur für die Elite geeignete Investments sind. Um Vorteile und Risiken der Hedgefonds richtig einschä

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Jarosław Stepaniuk.Dem Leser ohne Vorkenntnisse wird das Basiswissen über Hedg.Tatsächliche Performancedaten widerlegen zunehmend die Meinung, dass Hedgefonds gefährliche, exotische oder spekulative, hoch riskante und nur für die Elite geeignete Investments sind. Um Vorteile und Risiken der Hedgefonds richtig einschä

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1860-949X e Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD foundations based

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Rough Setsobjects can be indiscernible. Indiscernible objects form elementary granules. From this fact it follows that some sets can not be exactly described by available information about objects. They are rough not crisp. Any rough set is characterized by its (lower and upper) approximations.

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Data Reductionr provides an introduction to rough set based data preprocessing methods, which are concerned with selection of attributes to reduce the dimensionality and improve the data for subsequent data mining analysis.

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