Pengfei HU. Application of FinTech in internet financial industry risk prevention[J]. Big Data Research, 2018, 4(1): 2018012. DOI: 10.11959/j.issn.2096-0271.2018012.
In view of the increasing fraud risk and long-term liabilities appearing in the field of internet finance
the healthy development of the industry has been severely affected.The challenges facing the internet financial industry were analyzed in detail.Based on distributed architecture design and API calling technology
a shared ecosystem between industry organizations was designed.A social network knowledge graph for a financial scene was proposed.The anti-fraud risk control system was designed.The industry’s anti fraud ability was promoted.
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ABREU D D , FLORES A , PALMA G , et al . Choosing between graph databases and RDF engines for consuming and mining linked data [C ] // The 4th International Conference on Consuming Linked Data,July 13,2013,Sydney,Australia.Aachen:CEUR-WS.org , 2013 : 37 - 49 .
BORDES A , USUNIER N , WESTON J , et al . Translating embeddings for modeling multi-relational data [C ] // The 26th International Conference on Neural Information Processing Systems,December 5-10,2013,Lake Tahoe,USA.New York:Curran Associates Inc ., 2013 : 2787 - 2795 .
JENATTON R , ROUX N L , BORDES A , et al . A latent factor model for highly multirelational data [C ] // The 25th International Conference on Neural Information Processing Systems,December 3-6,2012,Lake Tahoe,USA.New York:Curran Associates Inc ., 2012 : 3167 - 3175 .