FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385493613> ?p ?o ?g. }

• W4385493613 abstract "Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and consumers. Its prevalence and influence have increased fast in lockstep with the expansion of online commerce, digital devices, and communication platforms. Today, it is a costly affair, wreaking havoc on enterprises' overall revenues and continually jeopardizing community security. These negative consequences are set to rocket to unprecedented heights as more people and devices connect to the Internet. Detecting and responding to these terrible acts as early as possible is critical for protecting consumers and businesses while also keeping an eye on rising patterns and fraud. The issue of detecting fraud in general has been studied widely, especially in financial services, but studies focusing on organized retail crimes are extremely rare in literature. To contribute to the knowledge base in this area, we present a scalable machine learning strategy for detecting and isolating ORC listings on a prominent marketplace platform by merchants committing organized retail crimes or fraud. We employ a supervised learning approach to classify postings as fraudulent or real based on past data from buyer and seller behaviors and transactions on the platform. The proposed framework combines bespoke data preprocessing procedures, feature selection methods, and state-of-the-art class asymmetry resolution techniques to search for aligned classification algorithms capable of discriminating between fraudulent and legitimate listings in this context. Our best detection model obtains a recall score of 0.97 on the holdout set and 0.94 on the out-of-sample testing data set. We achieve these results based on a select set of 45 features out of 58." @default.
• W4385493613 created "2023-08-03" @default.
• W4385493613 creator A5053763560 @default.
• W4385493613 creator A5085039258 @default.
• W4385493613 date "2023-08-02" @default.
• W4385493613 modified "2023-09-25" @default.
• W4385493613 title "A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces" @default.
• W4385493613 cites W1594276818 @default.
• W4385493613 cites W1602011302 @default.
• W4385493613 cites W1636210188 @default.
• W4385493613 cites W1678356000 @default.
• W4385493613 cites W1904715515 @default.
• W4385493613 cites W1972142897 @default.
• W4385493613 cites W1978054023 @default.
• W4385493613 cites W1996382440 @default.
• W4385493613 cites W2008352273 @default.
• W4385493613 cites W2022877381 @default.
• W4385493613 cites W2023224020 @default.
• W4385493613 cites W2027353179 @default.
• W4385493613 cites W2045883782 @default.
• W4385493613 cites W2046371459 @default.
• W4385493613 cites W2072636798 @default.
• W4385493613 cites W2089554624 @default.
• W4385493613 cites W2093625031 @default.
• W4385493613 cites W2102291758 @default.
• W4385493613 cites W2113885707 @default.
• W4385493613 cites W2142261479 @default.
• W4385493613 cites W2148143831 @default.
• W4385493613 cites W2161548576 @default.
• W4385493613 cites W2171567593 @default.
• W4385493613 cites W2533835508 @default.
• W4385493613 cites W2561283532 @default.
• W4385493613 cites W2756359217 @default.
• W4385493613 cites W28412257 @default.
• W4385493613 cites W2911964244 @default.
• W4385493613 cites W2948219206 @default.
• W4385493613 cites W2950690765 @default.
• W4385493613 cites W2960423448 @default.
• W4385493613 cites W2963395938 @default.
• W4385493613 cites W3018800955 @default.
• W4385493613 cites W3034271075 @default.
• W4385493613 cites W3102015031 @default.
• W4385493613 cites W3133808320 @default.
• W4385493613 cites W3134100544 @default.
• W4385493613 cites W4239510810 @default.
• W4385493613 cites W4297957988 @default.
• W4385493613 doi "https://doi.org/10.1038/s41598-023-38304-5" @default.
• W4385493613 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37532696" @default.
• W4385493613 hasPublicationYear "2023" @default.
• W4385493613 type Work @default.
• W4385493613 citedByCount "0" @default.
• W4385493613 crossrefType "journal-article" @default.
• W4385493613 hasAuthorship W4385493613A5053763560 @default.
• W4385493613 hasAuthorship W4385493613A5085039258 @default.
• W4385493613 hasBestOaLocation W43854936131 @default.
• W4385493613 hasConcept C112698675 @default.
• W4385493613 hasConcept C119857082 @default.
• W4385493613 hasConcept C121955636 @default.
• W4385493613 hasConcept C144133560 @default.
• W4385493613 hasConcept C151730666 @default.
• W4385493613 hasConcept C154945302 @default.
• W4385493613 hasConcept C195487862 @default.
• W4385493613 hasConcept C2779343474 @default.
• W4385493613 hasConcept C38652104 @default.
• W4385493613 hasConcept C41008148 @default.
• W4385493613 hasConcept C44210515 @default.
• W4385493613 hasConcept C48044578 @default.
• W4385493613 hasConcept C77088390 @default.
• W4385493613 hasConcept C86803240 @default.
• W4385493613 hasConceptScore W4385493613C112698675 @default.
• W4385493613 hasConceptScore W4385493613C119857082 @default.
• W4385493613 hasConceptScore W4385493613C121955636 @default.
• W4385493613 hasConceptScore W4385493613C144133560 @default.
• W4385493613 hasConceptScore W4385493613C151730666 @default.
• W4385493613 hasConceptScore W4385493613C154945302 @default.
• W4385493613 hasConceptScore W4385493613C195487862 @default.
• W4385493613 hasConceptScore W4385493613C2779343474 @default.
• W4385493613 hasConceptScore W4385493613C38652104 @default.
• W4385493613 hasConceptScore W4385493613C41008148 @default.
• W4385493613 hasConceptScore W4385493613C44210515 @default.
• W4385493613 hasConceptScore W4385493613C48044578 @default.
• W4385493613 hasConceptScore W4385493613C77088390 @default.
• W4385493613 hasConceptScore W4385493613C86803240 @default.
• W4385493613 hasIssue "1" @default.
• W4385493613 hasLocation W43854936131 @default.
• W4385493613 hasLocation W43854936132 @default.
• W4385493613 hasOpenAccess W4385493613 @default.
• W4385493613 hasPrimaryLocation W43854936131 @default.
• W4385493613 hasRelatedWork W1525643724 @default.
• W4385493613 hasRelatedWork W2067938758 @default.
• W4385493613 hasRelatedWork W2333420780 @default.
• W4385493613 hasRelatedWork W2364921833 @default.
• W4385493613 hasRelatedWork W2375199418 @default.
• W4385493613 hasRelatedWork W2382623646 @default.
• W4385493613 hasRelatedWork W2961085424 @default.
• W4385493613 hasRelatedWork W3087771547 @default.
• W4385493613 hasRelatedWork W4283211732 @default.
• W4385493613 hasRelatedWork W4366250329 @default.
• W4385493613 hasVolume "13" @default.
• W4385493613 isParatext "false" @default.

• next