Fraud Detection in Telecommunication Industry Through Data Mining Tech: with high precision and security through collaboration among versatile media transmission administrators - Softcover
Synopsis
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.
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Fraud Detection in Telecommunication Industry Through Data Mining Tech: with high precision and security through collaboration among versatile media transmission administrators
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
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Fraud Detection in Telecommunication Industry Through Data Mining Tech
Published by
LAP LAMBERT Academic Publishing Aug 2022, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786204952994
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Fraud Detection in Telecommunication Industry Through Data Mining Tech: with high precision and security through collaboration among versatile media transmission administrators
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 400573990
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Fraud Detection in Telecommunication Industry Through Data Mining Tech: with high precision and security through collaboration among versatile media transmission administrators
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18395835891
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Fraud Detection in Telecommunication Industry Through Data Mining Tech
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Softcover
Seller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 700370152
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Fraud Detection in Telecommunication Industry Through Data Mining Tech
Published by
LAP LAMBERT Academic Publishing Aug 2022, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9786204952994
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Fraud Detection in Telecommunication Industry Through Data Mining Tech : with high precision and security through collaboration among versatile media transmission administrators
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786204952994
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Fraud Detection in Telecommunication Industry Through Data Mining Tech | with high precision and security through collaboration among versatile media transmission administrators
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204952994
ISBN 13: 9786204952994
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 124038673