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Date : 2015-08-17
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Fraud Analytics Using Descriptive Predictive and Social ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution Early detection is a key factor in mitigating fraud damage but it involves more specialized techniques than detecting fraud at the more advanced stages
Fraud Analytics Using Descriptive Predictive and Social ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution Early detection is a key factor in mitigating fraud damage but it involves more specialized techniques than detecting fraud at the more advanced stages
Fraud Analytics Using Descriptive Predictive ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution Early detection is a key factor in mitigating fraud damage but it involves more specialized techniques than detecting fraud at the more advanced stages
Fraud Analytics Using Descriptive Predictive and Social ~ Detecting fraud at an early stage though is more difficult than detecting it later and requires specific techniques Fraud Analytics provides you with a comprehensive overview of fraud detection analytical techniques and provides implementation guidance for an effective fraud prevention solution to help you detect fraud early
Fraud Analytics Using Descriptive Predictive and Social ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution Early detection is a key factor in mitigating fraud damage but it involves more specialized techniques than detecting fraud at the more advanced stages
Fraud Analytics Using Descriptive Predictive and Social ~ Fraud analytics using descriptive predictive and social network techniques a guide to data science for fraud detection Bart Baesens Veronique Van Vlasselaer Wouter Verbeke
New elearning course Fraud Analytics using Descriptive ~ To be discussed is the use of descriptive analytics using an unlabeled data set predictive analytics using a labeled data set and social network learning using a networked data set The techniques can be applied across a wide variety of fraud applications such as insurance fraud credit card fraud antimoney laundering healthcare fraud telecommunications fraud click fraud tax evasion counterfeit etc
Book A Guide to Data Science for Fraud Detection Data ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution Early detection is a key factor in mitigating fraud damage but it involves more specialized techniques than detecting fraud at the more advanced stages
Trim Size 6in x 9in Baesens V2 07092015 4 ~ From Fraud Analytics Using Descriptive Predictive and Social Network Techniques A Guide to Data Science for Fraud Detection by Bart Baesens Véronique Van Vlasselaer and Wouter Verbeke
Fraud Analytics Using Descriptive Predictive and Social ~ Fraud Analytics Using Descriptive Predictive and Social Network Techniques offers a current stateoftheart detection and prevention methodology describing the data necessary to detect fraud
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