Data mining of missing persons data

Karen Blackmore, Terence Bossomaier, Shaunagh Foy, Donald Thomson

Research output: Book chapter/Published conference paperConference paper

Abstract

This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases. A rulebased system is used to derive augmentations to supplement police officer intuition. Results indicate that rule-based systems can effectively identify variables for prediction
Original languageEnglish
Title of host publicationInternational Conference on Fuzzy Systems and Knowledge
EditorsXin Yao
Place of PublicationSingapore
PublisherFSKD
Pages544-548
Number of pages5
Volume4/2005
ISBN (Electronic)9810475209
DOIs
Publication statusPublished - 2002
EventFSKD'02. Computational Intelligence for the E-Age, First International Conference - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Conference

ConferenceFSKD'02. Computational Intelligence for the E-Age, First International Conference
CountrySingapore
Period18/11/0222/11/02

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  • Cite this

    Blackmore, K., Bossomaier, T., Foy, S., & Thomson, D. (2002). Data mining of missing persons data. In X. Yao (Ed.), International Conference on Fuzzy Systems and Knowledge (Vol. 4/2005, pp. 544-548). FSKD. https://doi.org/10.1007/11011620_19