Advances in machine learning and data mining for astronomy

by Ali, Kamal M. Scargle, Jeffrey D. Way, Michael J.

Type Book

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Résumé de l'éditeur : "This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift …

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Title Statements

Full title :Advances in machine learning and data mining for astronomy / edited by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali... [et al.].

Summary

Résumé de l'éditeur : "This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Competition, which is an astronomy competition in the style of the Netflix Prize"

Edition Statements

Publication Date:cop. 2012.

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton (Fla.)
Language:eng
Publication Date:cop. 2012.

The Physical Object

Description:1 vol. (XXIX-698 p.) : : ill. en noir et en coul., couv. ill. en coul. ; : 27 cm.

Edition Identifiers

ISBN:9781439841730 (rel), 143984173X (rel)
oclc:ocn819155541
LC Classification:QB51.3.E43
Dewey Decimal:522/.85631

Subjects

Apprentissage automatique Astronomie -- Informatique Astronomy -- Data processing Data Mining Exploration de données Exploration de données (Informatique) Machine learning Statistiques