Data Mining in Nonprofit Organizations, Government Agencies, and Other Institutions

Zhongxian Wang, Ruiliang Yan, Qiyang Chen, Ruben Xing

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Data mining involves searching through databases for potentially useful information, such as knowledge rules, patterns, regularities, and other trends hidden in the data. Today, data mining is more widely used than ever before, not only by businesses who seek profits but also by nonprofit organizations, government agencies, private groups and other institutions in the public sector. In this paper, the authors summarize and classify the applications of data mining in the public sector into the following possible categories: improving service or performance; helping customer relations management; analyzing scientific and research information; managing human resources; improving emergency management; detecting fraud, waste, and abuse; detecting criminal activities; and detecting terrorist activities.

Original languageEnglish
Pages (from-to)42-52
Number of pages11
JournalInternational Journal of Information Systems in the Service Sector
Volume2
Issue number3
DOIs
StatePublished - 1 Jan 2010

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Data mining
Profitability
Personnel
Nonprofit organization
Government agencies
Industry
Public sector
Fraud
Data base
Information research
Regularity
Customer relation management
Abuse
Human resources
Profit
Emergency management

Keywords

  • Applications of Data Mining
  • Businesses
  • Criminal Activities
  • Government Agencies
  • Nonprofit Organizations

Cite this

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Data Mining in Nonprofit Organizations, Government Agencies, and Other Institutions. / Wang, Zhongxian; Yan, Ruiliang; Chen, Qiyang; Xing, Ruben.

In: International Journal of Information Systems in the Service Sector, Vol. 2, No. 3, 01.01.2010, p. 42-52.

Research output: Contribution to journalArticle

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