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Study rough set theory de saha ramesh (7 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2022

    6205497794 / 9786205497791

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 58,44

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    Cantidad disponible: 4 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2022

    6205497794 / 9786205497791

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Cantidad disponible: 4 disponibles

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Sep 2022, 2022

    6205497794 / 9786205497791

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 43,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is all about the concept of Rough Set Theory. It is method that deals with the vagueness and uncertainty in the decision making process. The salient feature of intelligent behavior is the ease with which the vagueness or inadequateness is dealt with by the concept. In this theory, the means of expressing vagueness is in terms of boundary regions of a set of objects. At times it is not possible to decide certainly about a particular data, present in a large reservoir of multidimensional data, whether it is present inside the set or not. Rough set is a type of decision making system. But in case of large or varied set of data there may be presence of redundant amount of data which are in indistinguishable state are superfluous in nature. The book mainly deals with reduction of a large table. The redundant data that has been placed in a set or a table has been extracted out so that only the meaningful information remains inside the set or table. Minimum Reduct of information system algorithm has been used to do this work. In this case if a large table is inserted into the database, the redundant information is cancelled out by removing same type information. 52 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2022

    6205497794 / 9786205497791

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: Nuevo

    EUR 58,58

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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2022

    6205497794 / 9786205497791

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 35,62

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha RameshDr. Ramesh Saha B.Tech, M.Tech, Ph.D., He is currently working as an Assistant Professor, VIT Bhopal University, MP, India. His areas of research interests IoT, IoV and e-heathcare.Dr. Subash Chandra Bose. J currently work. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2022

    6205497794 / 9786205497791

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 49,63

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is all about the concept of Rough Set Theory. It is method that deals with the vagueness and uncertainty in the decision making process. The salient feature of intelligent behavior is the ease with which the vagueness or inadequateness is dealt with by the concept. In this theory, the means of expressing vagueness is in terms of boundary regions of a set of objects. At times it is not possible to decide certainly about a particular data, present in a large reservoir of multidimensional data, whether it is present inside the set or not. Rough set is a type of decision making system. But in case of large or varied set of data there may be presence of redundant amount of data which are in indistinguishable state are superfluous in nature. The book mainly deals with reduction of a large table. The redundant data that has been placed in a set or a table has been extracted out so that only the meaningful information remains inside the set or table. Minimum Reduct of information system algorithm has been used to do this work. In this case if a large table is inserted into the database, the redundant information is cancelled out by removing same type information.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Sep 2022, 2022

    6205497794 / 9786205497791

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 43,90

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is all about the concept of Rough Set Theory. It is method that deals with the vagueness and uncertainty in the decision making process. The salient feature of intelligent behavior is the ease with which the vagueness or inadequateness is dealt with by the concept. In this theory, the means of expressing vagueness is in terms of boundary regions of a set of objects. At times it is not possible to decide certainly about a particular data, present in a large reservoir of multidimensional data, whether it is present inside the set or not. Rough set is a type of decision making system. But in case of large or varied set of data there may be presence of redundant amount of data which are in indistinguishable state are superfluous in nature. The book mainly deals with reduction of a large table. The redundant data that has been placed in a set or a table has been extracted out so that only the meaningful information remains inside the set or table. Minimum Reduct of information system algorithm has been used to do this work. In this case if a large table is inserted into the database, the redundant information is cancelled out by removing same type information.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…