Isbn: 9783847326144 - design a spam detector by analyzing user and e-mail behavior: a new algorithm of spam detector (8 resultados)

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  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3847326147 / 9783847326144

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

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    EUR 82,93

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 64.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2011

    3847326147 / 9783847326144

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 43,40

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Design a spam detector by analyzing user and e-mail behavior | A new algorithm of spam detector | Md. Ariful Islam Khandaker (u. a.) | Taschenbuch | 64 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847326144 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2011

    3847326147 / 9783847326144

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Nuevo

    EUR 175,73

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    Cantidad disponible: 1 disponible

    paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Dez 2011, 2011

    3847326147 / 9783847326144

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

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    EUR 49,00

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new approach of detecting spam is expressed by this book. It is showing a new idea to detect spam mail which is the most recent threat in Internet users specially for e-mail user.By this book we proposed an efficient algorithm to detect spam. In this paper we tried to analysis every single feature of e-mail. The proposed model builds up with some parts. The algorithm designed by taking the some features of analysis step. Then after passing some real worlds spam and legitimate e-mail we tested our system and it performed a good job.The achievements of our work are-It can detect spam and ham messages separately and It works faster than other system.our proposed system model is not the absolute solution for spam detection. There are lots of possibilities to improve this model. As behavior analysis phase is the most important portion of this paper, so there has a possibility to build up a mail server that can continuously monitors users, after monitoring users it can analysis every single features at least for one year and then it can able to more successfully detects spam messages. 64 pp. Englisch.…

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3847326147 / 9783847326144

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 83,34

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    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand pp. 64 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

  • Idioma: Inglés

    Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3847326147 / 9783847326144

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 83,15

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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND pp. 64.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Dez 2011, 2011

    3847326147 / 9783847326144

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 49,00

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A new approach of detecting spam is expressed by this book. It is showing a new idea to detect spam mail which is the most recent threat in Internet users specially for e-mail user.By this book we proposed an efficient algorithm to detect spam. In this paper we tried to analysis every single feature of e-mail. The proposed model builds up with some parts. The algorithm designed by taking the some features of analysis step. Then after passing some real worlds spam and legitimate e-mail we tested our system and it performed a good job.The achievements of our work are-It can detect spam and ham messages separately and It works faster than other system.our proposed system model is not the absolute solution for spam detection. There are lots of possibilities to improve this model. As behavior analysis phase is the most important portion of this paper, so there has a possibility to build up a mail server that can continuously monitors users, after monitoring users it can analysis every single features at least for one year and then it can able to more successfully detects spam messages.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2011

    3847326147 / 9783847326144

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

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    Condición: Nuevo

    EUR 49,00

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new approach of detecting spam is expressed by this book. It is showing a new idea to detect spam mail which is the most recent threat in Internet users specially for e-mail user.By this book we proposed an efficient algorithm to detect spam. In this paper we tried to analysis every single feature of e-mail. The proposed model builds up with some parts. The algorithm designed by taking the some features of analysis step. Then after passing some real worlds spam and legitimate e-mail we tested our system and it performed a good job.The achievements of our work are-It can detect spam and ham messages separately and It works faster than other system.our proposed system model is not the absolute solution for spam detection. There are lots of possibilities to improve this model. As behavior analysis phase is the most important portion of this paper, so there has a possibility to build up a mail server that can continuously monitors users, after monitoring users it can analysis every single features at least for one year and then it can able to more successfully detects spam messages.…