Data mining of missing persons data

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

doi:10.1007/11011620_19

Data mining of missing persons data

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

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	Classification and clustering for knowledge discovery
Editors	Saman K. Halgamuge, Lipo Wang
Publisher	Springer, Springer Nature
Pages	305-314
Number of pages	10
ISBN (Print)	3540260730
DOIs	https://doi.org/10.1007/11011620_19
Publication status	Published - 2005
Externally published	Yes
Event	Internationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002) - Singapore Duration: 18 Nov 2002 → 22 Nov 2002

Publication series

Name	Studies in computational intelligence
Publisher	Springer-Verlag
ISSN (Print)	1860-949X

Conference

Conference	Internationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002)
City	Singapore
Period	18/11/02 → 22/11/02

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10.1007/11011620_19

Cite this

@inproceedings{4679d0f3256e4c66b3e46eb93b1af393,

title = "Data mining of missing persons data",

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.",

author = "K. Blackmore and T. Bossomaier and S. Foy and D. Thomson",

year = "2005",

doi = "10.1007/11011620_19",

language = "English",

isbn = "3540260730",

series = "Studies in computational intelligence",

publisher = "Springer, Springer Nature",

pages = "305--314",

editor = "Halgamuge, {Saman K.} and Lipo Wang",

booktitle = "Classification and clustering for knowledge discovery",

address = "United States",

note = "Internationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002) ; Conference date: 18-11-2002 Through 22-11-2002",

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Blackmore, K, Bossomaier, T, Foy, S & Thomson, D 2005, Data mining of missing persons data. in SK Halgamuge & L Wang (eds), Classification and clustering for knowledge discovery. Studies in computational intelligence, Springer, Springer Nature, pp. 305-314, Internationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002), Singapore, 18/11/02. https://doi.org/10.1007/11011620_19

Data mining of missing persons data. / Blackmore, K.; Bossomaier, T.; Foy, S. et al.
Classification and clustering for knowledge discovery. ed. / Saman K. Halgamuge; Lipo Wang. Springer, Springer Nature, 2005. p. 305-314 (Studies in computational intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Data mining of missing persons data

AU - Blackmore, K.

AU - Bossomaier, T.

AU - Foy, S.

AU - Thomson, D.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

U2 - 10.1007/11011620_19

DO - 10.1007/11011620_19

M3 - Conference proceeding contribution

SN - 3540260730

T3 - Studies in computational intelligence

SP - 305

EP - 314

BT - Classification and clustering for knowledge discovery

A2 - Halgamuge, Saman K.

A2 - Wang, Lipo

PB - Springer, Springer Nature

T2 - Internationsal Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (1st : 2002)

Y2 - 18 November 2002 through 22 November 2002

ER -

Data mining of missing persons data

Abstract

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