This project is for financial risk control model construction based on KG. In this project, two goal are need to implement. The first is construct a financial prediction model, the sencod is construct real-time system.

The picture show the whole architect of the system.

The project implemented on Spring Boot Rule Developement

To extract the feature for applicant, we pre-defined three rules to judge applicant are more likely to be delinquent

• The number of delinquent application of applicant. For its Cypher query, are

match (p:Person)-[h:HAS_APPLICATION]->(a:Application) where a.status=”OVER_DUE” and a.personId=$personId return count(a)

• How many People are in blacklist in the one degree relationship of applicant For its Cypher query, are

match (p:Person)-[]-(p1:Person)-[h:HAS_PHONE]-(b:Black) where p.personId= $personId return count(b)

• How many People are in blacklist in the two degrees relationship of applicant For its Cypher query, are

macth (p:Person)-[]-(p2:Person)-[]-(p2:Person)-[h:HAS_PHONE]-(b:Black) where p.personId = $personId return count(b)

Save three rules in Mysql

Intergration of Mysql and Neo4j in Spring Boot

Extract rule from Mysql and then use this query to query neo4j database that obtain three features for applicant.