Study Guide Questions

For questions 1-3, indicate whether the statement is true or false.

1. _Data mining is essential in criminal justice because

trying to determine relationships and patterns within databases is often too complex to figure out in other ways.

2. _ One strategy for extracting meaning from large

amounts of investigative information is the use of video game applications.

3. _To find out information about almost any suspect, an

intelligence analyst need only “Google” that person’s name.

4. To comb through many large databases to find useful information in an investigation, the crime analyst may find similarities through

a. Entity extraction

b. Clustering

c. Associations

d. Sequential pattern mining

5. In criminal justice, frequent sequence mining could help

determine the interval between certain types of crimes and the_of criminal offenses.

a. Sequence

b. Violence

c. Motivation

d. Economic variables


Applegate, L.M., Cash, J.I., and Mills, D.Q. (1988). Information technology and tomorrow’s manager. Harvard Business Review 66(6): 128-136.

Borhanazad, H. (2014). Artificial neural network, part I. ResearchGate. Available at ARTIFICIAL_NEURAL_NETWORK_PART_1.

Chen, H., Chung, W., Xu, J., Wang, G., Chau, M., and Qin, Y. (2003). Crime data mining: A general framework and some examples. IEEE Computer 37(4): 50-56.

Furnas, A. (2012). Everything you wanted to know about data mining but were afraid to ask. The Atlantic. Available at nology/archive/2012/04/everything-you-wanted-to-know-about-data- mining-but-were-afraid-to-ask/255388/.

Mahar, F. (2003). Role of information technology in transaction processing system. Information Technology Journal 2: 128-134.

McCue, C., and Parker, A. (2003). Connecting the dots: Data mining and predictive analytics in law enforcement and intelligence analysis. Police Chief 70(10): 115-119.

Nath, S.V. (2006). Crime pattern detection using data mining. In International Conference on Web Intelligence and Intelligence Agent Technology Workshops, Hong Kong, pp. 41-44.

University of Wisconsin-Madison. (n.d.). A basic introduction to neural networks. Department of Computer Science, University of Wisconsin- Madison website. Available at neural/local.html.

Wang, T., Rudin, C., Wagner, D., and Sevieri, R. (2013). Learning to detect patterns of crime. In H. Blackiel, K. Kersting, S. Nyssen, and F. Zdezny (Eds.). Machine Learning and Knowledge Discovery in Databases, pp. 515-530. Springer. Available: chapter/10.1007/978-3-642-40994-3_33.

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