Matching data mining algorithm suitability to data characteristics using a self-organizing map

Kate Amanda Smith, Frederick Woo, Vic Ciesielski, Remzi Ibrahim

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

Original language	English
Title of host publication	Advances in Soft Computing: Hybrid Information Systems
Editors	A Abraham, M Koppen
Place of Publication	Heidelberg Germany
Publisher	Physica Verlag
Pages	169 - 179
Number of pages	11
Edition	1
ISBN (Print)	3790814806
Publication status	Published - 2002

Cite this

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title = "Matching data mining algorithm suitability to data characteristics using a self-organizing map",

author = "Smith, \{Kate Amanda\} and Frederick Woo and Vic Ciesielski and Remzi Ibrahim",

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Matching data mining algorithm suitability to data characteristics using a self-organizing map. / Smith, Kate Amanda; Woo, Frederick; Ciesielski, Vic et al.
Advances in Soft Computing: Hybrid Information Systems. ed. / A Abraham; M Koppen. 1. ed. Heidelberg Germany: Physica Verlag, 2002. p. 169 - 179.

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

TY - CHAP

T1 - Matching data mining algorithm suitability to data characteristics using a self-organizing map

AU - Smith, Kate Amanda

AU - Woo, Frederick

AU - Ciesielski, Vic

AU - Ibrahim, Remzi

PY - 2002

Y1 - 2002

M3 - Chapter (Book)

SN - 3790814806

SP - 169

EP - 179

BT - Advances in Soft Computing: Hybrid Information Systems

A2 - Abraham, A

A2 - Koppen, M

PB - Physica Verlag

CY - Heidelberg Germany

ER -