Advances in machine learning and data mining for astronomy [electronic resource] / edited by Michael J. Way ... [et al.]
- 其他作者：
- 其他題名：
- Chapman & Hall/CRC data mining and knowledge discovery series
- 出版： Boca Raton, FL : CRC Press c2012
- 叢書名： Chapman & Hall/CRC data mining and knowledge discovery series
- 主題： Astronomy--Data processing. , Data mining. , Machine learning.
- ISBN： 9781439841747 (electronic bk.)
- URL：
電子書
- 一般註：Description based on print version record
- 書目註：Includes bibliographical references and index
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讀者標籤：
- 系統號： 005233769 | 機讀編目格式
館藏資訊
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines
摘要註
"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