Rough Set Methods Applications (10 results)

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  • Language: English

    Published by Physica, 2012

    3662003767 / 9783662003763

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    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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  • Language: English

    Published by Physica, 2012

    3662003767 / 9783662003763

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    Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)

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  • Language: English

    Published by Springer, 2012

    3662003767 / 9783662003763

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    Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

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    Condition: New. pp. 696.

  • Language: English

    Published by Physica, 2012

    3662003767 / 9783662003763

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    Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand

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  • Language: English

    Published by Physica-Verlag HD Okt 2012, 2012

    3662003767 / 9783662003763

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research. 696 pp. Englisch.

  • Language: English

    Published by Springer, 2012

    3662003767 / 9783662003763

    • Softcover
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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 696 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

  • Language: English

    Published by Springer, 2012

    3662003767 / 9783662003763

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 696.

  • Language: English

    Published by Physica-Verlag HD, 2012

    3662003767 / 9783662003763

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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presentation of the state of the art in rough set methodsRich inventory of algorithmic and heuristic toolsExtensive bibliographyRough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under const.

  • Language: English

    Published by Physica Okt 2012, 2012

    3662003767 / 9783662003763

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 696 pp. Englisch.

  • Language: English

    Published by Physica, 2012

    3662003767 / 9783662003763

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.