DETECTION AUTOMATIQUE DE FRAUDES DANS UN FLUX DE TRANSACTION DE PAIEMENT PAR RESEAUX DE NEURONES INTEGRANT DES INFORMATIONS CONTEXTUELLES
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 u...
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| creator | GRANITZER, MICHAEL ZWICKLBAUER, Stefan HE-GUELTON, LIYUN GARCHERY, Mathieu ZIEGLER, KONSTANTIN CAELEN, OLIVIER |
| description | 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.
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. |
| format | Patent |
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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.</description><language>fre</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; 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=20180803&DB=EPODOC&CC=FR&NR=3062504A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20180803&DB=EPODOC&CC=FR&NR=3062504A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GRANITZER, MICHAEL</creatorcontrib><creatorcontrib>ZWICKLBAUER, Stefan</creatorcontrib><creatorcontrib>HE-GUELTON, LIYUN</creatorcontrib><creatorcontrib>GARCHERY, Mathieu</creatorcontrib><creatorcontrib>ZIEGLER, KONSTANTIN</creatorcontrib><creatorcontrib>CAELEN, OLIVIER</creatorcontrib><title>DETECTION AUTOMATIQUE DE FRAUDES DANS UN FLUX DE TRANSACTION DE PAIEMENT PAR RESEAUX DE NEURONES INTEGRANT DES INFORMATIONS CONTEXTUELLES</title><description>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.
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.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>eNqNjTEOwjAMRbswIOAOvgBSocBuNQ5EahNIbKlbVaEwIahULsGtSSkHYLL_93_f8-ytiKlk4yygsKuRzUUIFIH2KIoCKLQBxIKupBl99snACUnyjIZqspwWD54C4RSzJN7ZxBvLdEwMg_oq7fz4xaXW0qVbw0JVRWGZzW7dfYir31xkoInL0zr2zzYOfXeNj_hqtS_yw3af73BT_BH5ACzsPoI</recordid><startdate>20180803</startdate><enddate>20180803</enddate><creator>GRANITZER, MICHAEL</creator><creator>ZWICKLBAUER, Stefan</creator><creator>HE-GUELTON, LIYUN</creator><creator>GARCHERY, Mathieu</creator><creator>ZIEGLER, KONSTANTIN</creator><creator>CAELEN, OLIVIER</creator><scope>EVB</scope></search><sort><creationdate>20180803</creationdate><title>DETECTION AUTOMATIQUE DE FRAUDES DANS UN FLUX DE TRANSACTION DE PAIEMENT PAR RESEAUX DE NEURONES INTEGRANT DES INFORMATIONS CONTEXTUELLES</title><author>GRANITZER, MICHAEL ; ZWICKLBAUER, Stefan ; HE-GUELTON, LIYUN ; GARCHERY, Mathieu ; ZIEGLER, KONSTANTIN ; CAELEN, OLIVIER</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_FR3062504A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>fre</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>GRANITZER, MICHAEL</creatorcontrib><creatorcontrib>ZWICKLBAUER, Stefan</creatorcontrib><creatorcontrib>HE-GUELTON, LIYUN</creatorcontrib><creatorcontrib>GARCHERY, Mathieu</creatorcontrib><creatorcontrib>ZIEGLER, KONSTANTIN</creatorcontrib><creatorcontrib>CAELEN, OLIVIER</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GRANITZER, MICHAEL</au><au>ZWICKLBAUER, Stefan</au><au>HE-GUELTON, LIYUN</au><au>GARCHERY, Mathieu</au><au>ZIEGLER, KONSTANTIN</au><au>CAELEN, OLIVIER</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DETECTION AUTOMATIQUE DE FRAUDES DANS UN FLUX DE TRANSACTION DE PAIEMENT PAR RESEAUX DE NEURONES INTEGRANT DES INFORMATIONS CONTEXTUELLES</title><date>2018-08-03</date><risdate>2018</risdate><abstract>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.
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.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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 | DETECTION AUTOMATIQUE DE FRAUDES DANS UN FLUX DE TRANSACTION DE PAIEMENT PAR RESEAUX DE NEURONES INTEGRANT DES INFORMATIONS CONTEXTUELLES |
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