The Enhancement of Credit Card Fraud Detection Systems: using Machine Learning

ISBN 10: 363918047X / ISBN 13: 9783639180473
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The Enhancement of Credit Card Fraud Detection Systems: using Machine Learning. N° de ref. de la librería

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Sinopsis: Along with the rise of credit card use, fraud is on the rise. To address fraud, financial institutions (FIs) are employing fraud detection systems (FDS),however, the majority of cases being flagged by this system are False Positives. The possibilities of enhancing the current operation by post processing the FDS output constitute the objective of this book. The data used for the analysis was provided by one of the major Canadian banks. Based on several variations and combinations of features and training class distributions, different models(more than seventy) were developed to explore the influence of these parameters on the performance of the desired system. The results indicate that the employed approach and the prototype developed have a very good potential to improve on the existing system leading to significant savings for the FIs. This is a very well written book and could be useful and of interest to academia in general and Computer, AI & Information Technology applications, in particular. This book could also be useful to professionals in FIS and banking industry or any individual who may be interested in the real world applications of AI and IT.

Biografía del autor: Soheila Ehramikar: Obtained M.Sc. in Engineering with main focus on Business & Management of Technology from the University of Toronto; Obtained TCM Degree from Canada, R.Ac., Current practice: Holistic Medicine, Yoga Teacher and Public Speaker, Toronto, Canada; She travels extensively and has resided in several culturally diverse countries.

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1.

Ehramikar, Soheila
Editorial: VDM Verlag Dr. M?ller (2010)
ISBN 10: 363918047X ISBN 13: 9783639180473
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Descripción VDM Verlag Dr. M?ller, 2010. Paperback. Estado de conservación: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine. Nº de ref. de la librería CHL1625305

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Soheila Ehramikar
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ISBN 10: 363918047X ISBN 13: 9783639180473
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Descripción VDM Verlag 2010-01-05, 2010. paperback. Estado de conservación: New. Nº de ref. de la librería 9783639180473

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Ehramikar, Soheila
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Descripción Estado de conservación: New. Publisher/Verlag: VDM Verlag Dr. Müller | using Machine Learning | Along with the rise of credit card use, fraud is on the rise. To address fraud, financial institutions (FIs) are employing fraud detection systems (FDS),however, the majority of cases being flagged by this system are False Positives. The possibilities of enhancing the current operation by post processing the FDS output constitute the objective of this book. The data used for the analysis was provided by one of the major Canadian banks. Based on several variations and combinations of features and training class distributions, different models(more than seventy) were developed to explore the influence of these parameters on the performance of the desired system. The results indicate that the employed approach and the prototype developed have a very good potential to improve on the existing system leading to significant savings for the FIs. This is a very well written book and could be useful and of interest to academia in general and Computer, AI & Information Technology applications, in particular. This book could also be useful to professionals in FIS and banking industry or any individual who may be interested in the real world applications of AI and IT. | Format: Paperback | Language/Sprache: english | 260 gr | 188 pp. Nº de ref. de la librería K9783639180473

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Soheila Ehramikar
Editorial: VDM Verlag Dr. Müller E.K. Okt 2013 (2013)
ISBN 10: 363918047X ISBN 13: 9783639180473
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Descripción VDM Verlag Dr. Müller E.K. Okt 2013, 2013. Taschenbuch. Estado de conservación: Neu. 221x151x22 mm. Neuware - Along with the rise of credit card use, fraud is on the rise. To address fraud, financial institutions (FIs) are employing fraud detection systems (FDS),however, the majority of cases being flagged by this system are False Positives. The possibilities of enhancing the current operation by post processing the FDS output constitute the objective of this book. The data used for the analysis was provided by one of the major Canadian banks. Based on several variations and combinations of features and training class distributions, different models(more than seventy) were developed to explore the influence of these parameters on the performance of the desired system. The results indicate that the employed approach and the prototype developed have a very good potential to improve on the existing system leading to significant savings for the FIs. This is a very well written book and could be useful and of interest to academia in general and Computer, AI & Information Technology applications, in particular. This book could also be useful to professionals in FIS and banking industry or any individual who may be interested in the real world applications of AI and IT. 188 pp. Englisch. Nº de ref. de la librería 9783639180473

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Soheila Ehramikar
Editorial: VDM Verlag Dr. Müller E.K. Okt 2013 (2013)
ISBN 10: 363918047X ISBN 13: 9783639180473
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Descripción VDM Verlag Dr. Müller E.K. Okt 2013, 2013. Taschenbuch. Estado de conservación: Neu. 221x151x22 mm. This item is printed on demand - Print on Demand Neuware - Along with the rise of credit card use, fraud is on the rise. To address fraud, financial institutions (FIs) are employing fraud detection systems (FDS),however, the majority of cases being flagged by this system are False Positives. The possibilities of enhancing the current operation by post processing the FDS output constitute the objective of this book. The data used for the analysis was provided by one of the major Canadian banks. Based on several variations and combinations of features and training class distributions, different models(more than seventy) were developed to explore the influence of these parameters on the performance of the desired system. The results indicate that the employed approach and the prototype developed have a very good potential to improve on the existing system leading to significant savings for the FIs. This is a very well written book and could be useful and of interest to academia in general and Computer, AI & Information Technology applications, in particular. This book could also be useful to professionals in FIS and banking industry or any individual who may be interested in the real world applications of AI and IT. 188 pp. Englisch. Nº de ref. de la librería 9783639180473

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Soheila Ehramikar
Editorial: VDM Verlag Dr. Müller E.K. Okt 2013 (2013)
ISBN 10: 363918047X ISBN 13: 9783639180473
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Descripción VDM Verlag Dr. Müller E.K. Okt 2013, 2013. Taschenbuch. Estado de conservación: Neu. 221x151x22 mm. Neuware - Along with the rise of credit card use, fraud is on the rise. To address fraud, financial institutions (FIs) are employing fraud detection systems (FDS),however, the majority of cases being flagged by this system are False Positives. The possibilities of enhancing the current operation by post processing the FDS output constitute the objective of this book. The data used for the analysis was provided by one of the major Canadian banks. Based on several variations and combinations of features and training class distributions, different models(more than seventy) were developed to explore the influence of these parameters on the performance of the desired system. The results indicate that the employed approach and the prototype developed have a very good potential to improve on the existing system leading to significant savings for the FIs. This is a very well written book and could be useful and of interest to academia in general and Computer, AI & Information Technology applications, in particular. This book could also be useful to professionals in FIS and banking industry or any individual who may be interested in the real world applications of AI and IT. 188 pp. Englisch. Nº de ref. de la librería 9783639180473

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Descripción VDM Verlag, 2010. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9783639180473

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Descripción VDM Verlag, 2010. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9783639180473

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Descripción VDM Verlag Dr. Müller, 2010. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 363918047X

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