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

  • Zhongxian Wang
  • , Ruiliang Yan
  • , Qiyang Chen
  • , Ruben Xing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

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
Title of host publicationAdvancing the Service Sector with Evolving Technologies
Subtitle of host publicationTechniques and Principles
PublisherIGI Global
Pages208-218
Number of pages11
ISBN (Electronic)9781466600454
ISBN (Print)9781466600447
DOIs
StatePublished - 1 Jan 2012

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