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<pubDate>Thu, 21 Aug 2008 07:08:35 BST</pubDate>


	<title>CiteULike: issbg's library [2 articles]</title>
	<description>CiteULike: issbg's library [2 articles]</description>


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    <title>Unsupervised Profiling Methods for Fraud Detection</title>
    <link>http://www.citeulike.org/user/issbg/article/1168847</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Credit card fraud falls broadly into two categories: behavioural fraud and application fraud. Application fraud occurs when individuals obtain new credit cards from issuing companies using false personal information and then spend as much as possible in a short space of time. However, most credit card fraud is behavioural and occurs when details of legitimate cards have been obtained fraudulently and sales are made on a 'Cardholder Not Present' basis. These sales include telephone sales and...</description>
    <dc:title>Unsupervised Profiling Methods for Fraud Detection</dc:title>

    <dc:creator>Richard Bolton</dc:creator>
    <dc:creator>David Hand</dc:creator>
    <dc:date>2007-03-17T15:12:25-00:00</dc:date>
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    <title>Adaptive Fraud Detection</title>
    <link>http://www.citeulike.org/user/issbg/article/788096</link>
    <description>&lt;i&gt;Data Mining and Knowledge Discovery, Vol. 1, No. 3. (1997), pp. 291-316.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;. One method for detecting fraud is to check for suspicious changes in user behavior. This paper describes the automatic design of user profiling methods for the purpose of fraud detection, using a series of data mining techniques. Specifically, we use a rule-learning program to uncover indicators of fraudulent behavior from a large database of customer transactions. Then the indicators are used to create a set of monitors, which profile legitimate customer behavior and indicate anomalies....</description>
    <dc:title>Adaptive Fraud Detection</dc:title>

    <dc:creator>Tom Fawcett</dc:creator>
    <dc:creator>Foster Provost</dc:creator>
    <dc:source>Data Mining and Knowledge Discovery, Vol. 1, No. 3. (1997), pp. 291-316.</dc:source>
    <dc:date>2006-08-06T16:48:43-00:00</dc:date>
    <prism:publicationYear>1997</prism:publicationYear>
    <prism:publicationName>Data Mining and Knowledge Discovery</prism:publicationName>
    <prism:volume>1</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>291</prism:startingPage>
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