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Advances in machine learning and data mining for astronomy / edited by, Michael J. Way ... [et al.]

Contributor(s): Way, Michael J [editor.].
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC data mining and knowledge discovery series.Publisher: Boca Raton : CRC Press / Taylor & Francis Group, c.2012Description: xxix, 698 p. : ill. (some col.) ; 27 cm.ISBN: 9781439841730; 143984173X.Subject(s): Astronomy -- Data processing | Data mining | Machine learning | | Informatics and Computer Science November2016DDC classification: 522.85631 Summary: "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"--Provided by publisher.
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Item type Current location Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library
First floor
Baccah 522.85631 ADV (Browse shelf) 2000088 Available 000034991
Total holds: 0

Includes bibliographical references and index.

"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"--Provided by publisher.

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