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Data Mining and Analyzing Intelligence

Chapter Outline

  • 1. What is data mining?
  • 2. Understanding data mining
  • 3. Computer-based transaction processing
  • 4. Analytical systems
  • 5. Software available for criminal justice data mining
  • 6. What kinds of relationships can data mining software find?

Learning Objectives for Chapter 9

  • 1. Understand data mining
  • 2. Learn how crime data are analyzed
  • 3. Begin to understand how to explore large databases
  • 4. Explore examples of data mining

A major challenge facing all law enforcement and intelligencegathering organizations is accurately and efficiently analyzing the growing volumes of crime data. For example, complex conspiracies are often difficult to unravel because information on suspects can be geographically diffuse and span long periods of time. Detecting cybercrime can likewise be difficult because busy network traffic and frequent online transactions generate large amounts of data, only a small portion of which relates to illegal activities. Data mining is a powerful tool that enables criminal investigators who may lack extensive training as data analysts to explore large databases quickly and efficiently.

Chen et al. (2003, p. 50)

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