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

Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton : CRC Press / Taylor & Francis Group, c.2012.Description: xxix, 698 p. : ill. (some col.) ; 27 cmISBN:
  • 9781439841730
  • 143984173X
Subject(s): DDC classification:
  • 522.85631 23 ADV
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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Holdings
Item type Current library 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(Opens below)) 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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