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International Conference on Case-Based Reasoning

ICCBR 2003: Case-Based Reasoning Research and Development pp 452–464Cite as

Empirical Analysis of Case-Based Reasoning and Other Prediction Methods in a Social Science Domain: Repeat Criminal Victimization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2689))

Abstract

Case-Based Reasoning (CBR) has been used successfully in many practical applications. In this paper, we present the value of Case-Based Reasoning for researchers in a novel task domain, criminology. In particular, some criminologists are interested in studying crime victims who are victims of multiple crime incidents. However, research progress has been slow, in part due to limitations in the statistical methods generally used in the field. We show that CBR provides a useful alternative, allowing better prediction than via other methods, and generating hypotheses as to what features are important predictors of repeat victimization. This paper details a systematic sequence of experiments with variations on CBR and comparisons to other related, competing methods. The research uses data from the United States’ National Crime Victimization Survey. CBR, with advance filtering of variables, was the best predictor in comparison to other machine learning methods. This approach may provide a fruitful new direction of research, particularly for criminology, but also for other academic research areas.

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Author information

Authors and Affiliations

  1. Mathematics & Computer Science, La Salle University, 1900 W. Olney Ave, 19141, Philadelphia, PA

    Michael A. Redmond

  2. Department of Law & Justice Studies, Rowan University, 201 Mullica Hill Road, 08028, Glassboro, NJ

    Cynthia Blackburn Line

Authors
  1. Michael A. Redmond
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  2. Cynthia Blackburn Line
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Editor information

Editors and Affiliations

  1. Learning Research and Development Center, University of Pittsburgh, 3939 O’Hara Street, 15260, Pittsburgh, PA, USA

    Kevin D. Ashley

  2. Department of Computer Science, University College Cork, The Kane Building, College Road, Cork, Ireland

    Derek G. Bridge

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© 2003 Springer-Verlag Berlin Heidelberg

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Redmond, M.A., Line, C.B. (2003). Empirical Analysis of Case-Based Reasoning and Other Prediction Methods in a Social Science Domain: Repeat Criminal Victimization. In: Ashley, K.D., Bridge, D.G. (eds) Case-Based Reasoning Research and Development. ICCBR 2003. Lecture Notes in Computer Science(), vol 2689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45006-8_35

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  • DOI: https://doi.org/10.1007/3-540-45006-8_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40433-0

  • Online ISBN: 978-3-540-45006-1

  • eBook Packages: Springer Book Archive

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