Items related to Fraud Detection in Telecommunication Industry Through...
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.
"synopsis" may belong to another edition of this title.
Search results for Fraud Detection in Telecommunication Industry Through...
Stock Image
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: Books Puddle, Woodside, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26395835897
Stock Image
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: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 400573990
Buy New
£ 48.49
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
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
Seller rating 5 out of 5 stars
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
Stock Image
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: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18395835891
Seller Image
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
Seller rating 5 out of 5 stars
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
Seller Image
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
Seller rating 5 out of 5 stars
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
Buy New
£ 32.02
£ 40.90 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
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. 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. Seller Inventory # 9786204952994