AUTOMATIC DETECTION OF FRAUDS IN A STREAM OF PAYMENT TRANSACTIONS BY NEURAL NETWORKS INTEGRATING CONTEXTUAL INFORMATION
The invention relates to a method for detecting fraudulent transactions in a collection of payment transactions, consisting in submitting the transactions to a classification system trained on an training set and providing for each new transaction of said collection a probability of being a fraudule...
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| creator | ZIEGLER, Konstantin GRANITZER, Michael HE-GUELTON, Liyun CAELEN, Olivier ZWICKLBAUER, Stefan GARCHERY, Mathieu |
| description | The invention relates to a method for detecting fraudulent transactions in a collection of payment transactions, consisting in submitting the transactions to a classification system trained on an training set and providing for each new transaction of said collection a probability of being a fraudulent transaction, characterized in that with each transaction is associated contextual information, and in that the classification system is a neural network.
L'invention concerne un procédé de détection de transactions frauduleuses dans un ensemble de transactions de paiement, consistant à soumettre les transactions à un système de classification entrainé sur un jeu d'entrainement et fournissant pour chaque nouvelle transaction dudit ensemble une probabilité d'être une transaction frauduleuse, caractérisé en ce qu'à chaque transaction sont associées des informations contextuelles, et en ce que le système de classification est un réseau de neurones. |
| format | Patent |
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L'invention concerne un procédé de détection de transactions frauduleuses dans un ensemble de transactions de paiement, consistant à soumettre les transactions à un système de classification entrainé sur un jeu d'entrainement et fournissant pour chaque nouvelle transaction dudit ensemble une probabilité d'être une transaction frauduleuse, caractérisé en ce qu'à chaque transaction sont associées des informations contextuelles, et en ce que le système de classification est un réseau de neurones.</description><language>eng ; fre</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2018</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180802&DB=EPODOC&CC=WO&NR=2018138423A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180802&DB=EPODOC&CC=WO&NR=2018138423A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZIEGLER, Konstantin</creatorcontrib><creatorcontrib>GRANITZER, Michael</creatorcontrib><creatorcontrib>HE-GUELTON, Liyun</creatorcontrib><creatorcontrib>CAELEN, Olivier</creatorcontrib><creatorcontrib>ZWICKLBAUER, Stefan</creatorcontrib><creatorcontrib>GARCHERY, Mathieu</creatorcontrib><title>AUTOMATIC DETECTION OF FRAUDS IN A STREAM OF PAYMENT TRANSACTIONS BY NEURAL NETWORKS INTEGRATING CONTEXTUAL INFORMATION</title><description>The invention relates to a method for detecting fraudulent transactions in a collection of payment transactions, consisting in submitting the transactions to a classification system trained on an training set and providing for each new transaction of said collection a probability of being a fraudulent transaction, characterized in that with each transaction is associated contextual information, and in that the classification system is a neural network.
L'invention concerne un procédé de détection de transactions frauduleuses dans un ensemble de transactions de paiement, consistant à soumettre les transactions à un système de classification entrainé sur un jeu d'entrainement et fournissant pour chaque nouvelle transaction dudit ensemble une probabilité d'être une transaction frauduleuse, caractérisé en ce qu'à chaque transaction sont associées des informations contextuelles, et en ce que le système de classification est un réseau de neurones.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNTb0KwjAQ7uIg6jscOAu2deh6pkkN2pwkF2qnUiROooUKvr6p-ABOH9__PHmjZ6qRtYBSshSsyQApUBZ96UAbQHBsJdaTesa2loaBLRqH37CDfQtGeounCNyQPU41lpWNq6YCQZFc2EdfG0V2OiOzTGa3_j6G1Q8XyVpJFodNGJ5dGIf-Gh7h1TWUbdMizYtdlmOa_5f6AHfYOyY</recordid><startdate>20180802</startdate><enddate>20180802</enddate><creator>ZIEGLER, Konstantin</creator><creator>GRANITZER, Michael</creator><creator>HE-GUELTON, Liyun</creator><creator>CAELEN, Olivier</creator><creator>ZWICKLBAUER, Stefan</creator><creator>GARCHERY, Mathieu</creator><scope>EVB</scope></search><sort><creationdate>20180802</creationdate><title>AUTOMATIC DETECTION OF FRAUDS IN A STREAM OF PAYMENT TRANSACTIONS BY NEURAL NETWORKS INTEGRATING CONTEXTUAL INFORMATION</title><author>ZIEGLER, Konstantin ; GRANITZER, Michael ; HE-GUELTON, Liyun ; CAELEN, Olivier ; ZWICKLBAUER, Stefan ; GARCHERY, Mathieu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2018138423A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>ZIEGLER, Konstantin</creatorcontrib><creatorcontrib>GRANITZER, Michael</creatorcontrib><creatorcontrib>HE-GUELTON, Liyun</creatorcontrib><creatorcontrib>CAELEN, Olivier</creatorcontrib><creatorcontrib>ZWICKLBAUER, Stefan</creatorcontrib><creatorcontrib>GARCHERY, Mathieu</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZIEGLER, Konstantin</au><au>GRANITZER, Michael</au><au>HE-GUELTON, Liyun</au><au>CAELEN, Olivier</au><au>ZWICKLBAUER, Stefan</au><au>GARCHERY, Mathieu</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTOMATIC DETECTION OF FRAUDS IN A STREAM OF PAYMENT TRANSACTIONS BY NEURAL NETWORKS INTEGRATING CONTEXTUAL INFORMATION</title><date>2018-08-02</date><risdate>2018</risdate><abstract>The invention relates to a method for detecting fraudulent transactions in a collection of payment transactions, consisting in submitting the transactions to a classification system trained on an training set and providing for each new transaction of said collection a probability of being a fraudulent transaction, characterized in that with each transaction is associated contextual information, and in that the classification system is a neural network.
L'invention concerne un procédé de détection de transactions frauduleuses dans un ensemble de transactions de paiement, consistant à soumettre les transactions à un système de classification entrainé sur un jeu d'entrainement et fournissant pour chaque nouvelle transaction dudit ensemble une probabilité d'être une transaction frauduleuse, caractérisé en ce qu'à chaque transaction sont associées des informations contextuelles, et en ce que le système de classification est un réseau de neurones.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | AUTOMATIC DETECTION OF FRAUDS IN A STREAM OF PAYMENT TRANSACTIONS BY NEURAL NETWORKS INTEGRATING CONTEXTUAL INFORMATION |
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