LEADER 03121nam 22005415 450 001 9910768442003321 005 20251201182842.0 010 $a981-9952-57-3 024 7 $a10.1007/978-981-99-5257-1 035 $a(MiAaPQ)EBC30999745 035 $a(Au-PeEL)EBL30999745 035 $a(OCoLC)1412621275 035 $a(CKB)29287175200041 035 $a(DE-He213)978-981-99-5257-1 035 $a(EXLCZ)9929287175200041 100 $a20231204d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnti-Fraud Engineering for Digital Finance $eBehavioral Modeling Paradigm /$fby Cheng Wang 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (213 pages) 225 1 $aEconomics and Finance Series 311 08$aPrint version: Wang, Cheng Anti-Fraud Engineering for Digital Finance Singapore : Springer Singapore Pte. Limited,c2023 9789819952564 320 $aIncludes bibliographical references. 327 $aOverview of Digital Finance Anti Fraud Vertical Association Modeling: Latent Interaction Modeling -- Horizontal Association Modeling: Deep Relation Modeling -- Explicable Integration Techniques: Relative Temporal Position Taxonomy -- Multidimensional Behavior Fusion: Joint Probabilistic Generative Modeling -- Knowledge Oriented Strategies: Dedicated Rule Engine -- Enhancing Association Utility: Dedicated Knowledge Graph -- Associations Dynamic Evolution: Evolving Graph Transformer. 330 $aThis book offers an introduction to the topic of anti-fraud in digital finance based on the behavioral modeling paradigm. It deals with the insufficiency and low-quality of behavior data and presents a unified perspective to combine technology, scenarios, and data for better anti-fraud performance. The goal of this book is to provide a non-intrusive second security line, rather than replaced with existing solutions, for anti-fraud in digital finance. By studying common weaknesses in typical fields, it can support the behavioral modeling paradigm across a wide array of applications. It covers the latest theoretical and experimental progress and offers important information that is just as relevant for researchers as for professionals. 410 0$aEconomics and Finance Series (Springer Nature Singapore) 606 $aSocial sciences$xData processing 606 $aEconomics$xPsychological aspects 606 $aComputer Application in Social and Behavioral Sciences 606 $aBehavioral Finance 615 0$aSocial sciences$xData processing. 615 0$aEconomics$xPsychological aspects. 615 14$aComputer Application in Social and Behavioral Sciences. 615 24$aBehavioral Finance. 676 $a910.5 700 $aWang$b Cheng$f1370-1415,$01460128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768442003321 996 $aAnti-Fraud Engineering for Digital Finance$93659847 997 $aUNINA