Abstract
Identifying aliases is an important component of the criminal justice system. Accurately identifying a person of interest or someone who has been arrested can significantly reduce the costs within the entire criminal justice system. This paper examines the problem domain of matching and relating identities, examines traditional approaches to the problem, and applies the identity resolution approach described by Jeff Jonas [1] and relationship awareness to the specific case of client identification for the indigent defense office. The combination of identity resolution and relationship awareness offered improved accuracy in matching identities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jonas, J.: Threat and Fraud Intelligence, Las Vegas Style. IEEE Security & Privacy 4(06), 28–34 (2006)
Booker, Q., Kitchens, F.K., Rebman, C.: A Rule Based Decision Support System Prototype for Assigning Felony Court Appointed Counsel. In: Proceedings of the 2004 Decision Sciences Annual Meeting, Boston, MA (2004)
Gross, L.: Are Differences Among the Attorney Conflict of Interest Rules Consistent with Principles of Behavioral Economics. Georgetown Journal of Legal Ethics 19, 111 (2006)
Manning, A.M., Haglin, D.J., Keane, J.A.: A Recursive Search Algorithm for Statistical Disclosure Assessment. Data Mining and Knowledge Discovery (accepted, 2007)
Kitchens, F.L., Sharma, S.K., Harris, T.: Cluster Computers for e-Business Applications. Asian Journal of Information Systems (AJIS) 3(10) (2004)
Forgy, C.: Rete: A Fast Algorithm for the Many Pattern/ Many Object Pattern Match Problem. Artificial Intelligence 19 (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Booker, Q.E. (2009). Identity Resolution in Criminal Justice Data: An Application of NORA. In: Corchado, E., Zunino, R., Gastaldo, P., Herrero, Á. (eds) Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08. Advances in Soft Computing, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88181-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-88181-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88180-3
Online ISBN: 978-3-540-88181-0
eBook Packages: EngineeringEngineering (R0)