Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 57,75
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: Majestic Books, Hounslow, Reino Unido
EUR 57,03
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2022, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 43,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analysts have proposed different answers for counter false movement. In any case, those techniques may lose viability in extortion discovery since fraudsters constantly will in general spread their tracks by meandering among various media transmission administrators. Additionally, because of the absence of genuine information, analysts need to do reproductions in a virtual situation, which makes their models and results less powerful. In our past paper, we proposed a novel system with high precision and security through collaboration among versatile media transmission administrators. In this original copy, we will approve it in a genuine situation utilizing genuine Call Detail Records (CDR) data. We apply the Latent Dirichlet Allocation (LDA) model to profile clients. At that point we utilize a strategy dependent on Maximum Mean Discrepancy (MMD) to contrast the dispersion of tests with coordinate meandering fraudsters. Participation between media transmission administrators may help the precision of recognition while the potential danger of protection spillage exists. A procedure dependent on Differential Privacy (DP) is utilized to address this issue. 76 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 57,61
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Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: moluna, Greven, Alemania
EUR 37,23
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Analysts have proposed different answers for counter false movement. In any case, those techniques may lose viability in extortion discovery since fraudsters constantly will in general spread their tracks by meandering among various media transmission admin.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2022, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 43,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Analysts have proposed different answers for counter false movement. In any case, those techniques may lose viability in extortion discovery since fraudsters constantly will in general spread their tracks by meandering among various media transmission administrators. Additionally, because of the absence of genuine information, analysts need to do reproductions in a virtual situation, which makes their models and results less powerful. In our past paper, we proposed a novel system with high precision and security through collaboration among versatile media transmission administrators. In this original copy, we will approve it in a genuine situation utilizing genuine Call Detail Records (CDR) data. We apply the Latent Dirichlet Allocation (LDA) model to profile clients. At that point we utilize a strategy dependent on Maximum Mean Discrepancy (MMD) to contrast the dispersion of tests with coordinate meandering fraudsters. Participation between media transmission administrators may help the precision of recognition while the potential danger of protection spillage exists. A procedure dependent on Differential Privacy (DP) is utilized to address this issue.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 44,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Analysts have proposed different answers for counter false movement. In any case, those techniques may lose viability in extortion discovery since fraudsters constantly will in general spread their tracks by meandering among various media transmission administrators. Additionally, because of the absence of genuine information, analysts need to do reproductions in a virtual situation, which makes their models and results less powerful. In our past paper, we proposed a novel system with high precision and security through collaboration among versatile media transmission administrators. In this original copy, we will approve it in a genuine situation utilizing genuine Call Detail Records (CDR) data. We apply the Latent Dirichlet Allocation (LDA) model to profile clients. At that point we utilize a strategy dependent on Maximum Mean Discrepancy (MMD) to contrast the dispersion of tests with coordinate meandering fraudsters. Participation between media transmission administrators may help the precision of recognition while the potential danger of protection spillage exists. A procedure dependent on Differential Privacy (DP) is utilized to address this issue.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994 ISBN 13: 9786204952994
Librería: preigu, Osnabrück, Alemania
EUR 38,70
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Fraud Detection in Telecommunication Industry Through Data Mining Tech | with high precision and security through collaboration among versatile media transmission administrators | R. S. Ramya Harish | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204952994 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.