Chapter

Domain Driven Data Mining

pp 203-215

Date:

Mining Actionable Knowledge on Social Security Data

  • Longbing CaoAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney Email author 
  • , Chengqi ZhangAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney
  • , Philip S. YuAffiliated withDepartment of Computer Science, University of Illinois, Chicago
  • , Yanchang ZhaoAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney

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Abstract

Social security data is widely seen in welfare states. The data consists of customer demographics, government overpayment (debt) information, activities such as government arrangements for debtors’ payback agreed by both parties, and debtors’ repayment information. Such data encloses important information about the experience and performance of government service objectives and social security policies, and may include evidence and indicators for recovering, detecting, preventing and predicting debt occurrences.