Data mining of missing persons data

K. Blackmore, T. Bossomaier, S. Foy, D. Thomson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases. A rule-based 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 publicationClassification and clustering for knowledge discovery
EditorsSaman K. Halgamuge, Lipo Wang
PublisherSpringer, Springer Nature
Number of pages10
ISBN (Print)3540260730
Publication statusPublished - 2005
Externally publishedYes
EventInternationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002) - Singapore
Duration: 18 Nov 200222 Nov 2002

Publication series

NameStudies in computational intelligence
ISSN (Print)1860-949X


ConferenceInternationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002)

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