Advances in machine learning and data mining for astronomy / edited by, Michael J. Way ... [et al.]
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781439841730
- 143984173X
- 522.85631 23 ADV
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
![]() |
Central Library First floor | Baccah | 522.85631 ADV (Browse shelf(Opens below)) | 2000088 | Available | 000034991 |
Browsing Central Library shelves, Shelving location: First floor Close shelf browser (Hides shelf browser)
522.67 HIG High-Resolution X-Ray Spectroscopy : | 522.682 CRA Fundamentals of radio astronomy : | 522.682 ROH Tools of radio astronomy / | 522.85631 ADV Advances in machine learning and data mining for astronomy / | 523.6COM Comet science : | 523.01 CAR An introduction to modern astrophysics / | 523.01 SOL Rational approximation for Bratu-type equations of solid and hollow geometries / |
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.
There are no comments on this title.