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.
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© 2010 Springer Science+Business Media, LLC
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Cao, L., Zhang, C., Yu, P.S., Zhao, Y. (2010). Mining Actionable Knowledge on Social Security Data. In: Domain Driven Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5737-5_10
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DOI: https://doi.org/10.1007/978-1-4419-5737-5_10
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Online ISBN: 978-1-4419-5737-5
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