Description: This sample code is used to access FraudLabs Credit Card Fraud Detection Web Service using SOAP methods. FraudLabs is a hosted XML Web Service that allows instant detection of fraudulent online credit card orders by using several non-intrusive parameters. These parameters include IP address, email address domain name, delivery address, credit card bank identification number (BIN), area code and ZIP code. Free sample source files are available in several programming languages such as ASP, ASP.NET, VB.NET, C#, PHP, Perl, Python, ColdFusion and VBA at the Fraud Labs Web site. http://www.fraudlabs.com/
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Author:simale |
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Description: Does machine learning really work? Yes. Over the
past decade, machine learning has evolved from a
field of laboratory demonstrations to a field of significant
commercial value. Machine-learning algorithms
have now learned to detect credit card
fraud by mining data on past transactions Platform: |
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Author:pavan |
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Description: Due to the rise and rapid growth of E-Commerce, use
of credit cards for online purchases has dramatically increased
and it caused an explosion in the credit card fraud. As credit card
becomes the most popular mode of payment for both online as
well as regular purchase, cases of fraud associated with it are also
rising. In real life, fraudulent transactions are scattered with
genuine transactions and simple pattern matching techniques are
not often sufficient to detect those frauds accurately. Platform: |
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Author:phdscolar
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Description: In this paper we present the necessary theory to
detect fraud in credit card transaction processing using a
Hidden Markov Model (HMM). An HMM is initially trained
with the normal behavior of a cardholder. If an incoming
credit card transaction is not accepted by the trained HMM
with sufficiently high probability, it is considered to be fraudulent. Platform: |
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Author:phdscolar
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Description: Using data from a credit card issuer, a neural
network based fraud detection system was trained on a
large sample of labelled credit card account
transactions and tested on a holdout data set that
consisted of all account activity over a subsequent
two-month period of time. Platform: |
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Author:phdscolar
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Description: s spreading all
over the world, resulting in huge financial losses. Though fraud
prevention mechanisms such as CHIP&PIN are developed, these
mechanisms do not prevent the most common fraud types such as
fraudulent credit card usages over virtual POS terminals through
Internet or mail orders. As a result, fraud detection is the
essential tool and probably the best way to stop such fraud types Platform: |
Size: 235520 |
Author:phdscolar
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Description: 信用卡欺诈不平衡数据预测，主要用到的是SVM，python工具，主要是基于数据不平衡进行处理。(Credit card fraud unbalance data prediction, the main use of SVM, python tools, mainly based on data imbalance processing.) Platform: |
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Author:echohu |
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Search - credit card fraud