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

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 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
Pages305-314
Number of pages10
ISBN (Print)3540260730
DOIs
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
PublisherSpringer-Verlag
ISSN (Print)1860-949X

Conference

ConferenceInternationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002)
CitySingapore
Period18/11/0222/11/02

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