Mining Actionable Knowledge on Social Security Data
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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.
- Mining Actionable Knowledge on Social Security Data
- Book Title
- Domain Driven Data Mining
- pp 203-215
- Print ISBN
- Online ISBN
- Springer US
- Copyright Holder
- Springer Science+Business Media, LLC
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- Author Affiliations
- 1. Fac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Broadway, Sydney, NSW, 2007, Australia
- 2. Department of Computer Science, University of Illinois, Chicago, 851 S. Morgan St., Chicago, IL, 60607-7053, USA
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