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Advances in Self-Organizing Maps : 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings

Author: David HutchisonDoug TygarRisto MiikkulainenJ C PríncipeGerhard WeikumAll authors
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series: Lecture notes in computer science, 5629.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009. The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Hutchison; Doug Tygar; Risto Miikkulainen; J C Príncipe; Gerhard Weikum; Takeo Kanade; Josef Kittler; Jon M Kleinberg; Friedemann Mattern; John C Mitchell; Moshe Y Vardi; C Pandu Rangan; Madhu Sudan; Bernhard Steffen; Demetri Terzopoulos; Oscar Nierstrasz; Moni Naor
ISBN: 9783642023972 3642023975
OCLC Number: 428884839
Description: 1 online resource (: v.: digital.
Series Title: Lecture notes in computer science, 5629.
Responsibility: edited by David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Doug Tygar, Moshe Y. Vardi, Gerhard Weikum, José C. Príncipe, Risto Miikkulainen.

Abstract:

This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009. The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and theoretical computer science.

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