Advances in Machine Learning and Data Mining for Astronomy

ISBN-13: 9781439841730 / Angielski / Twarda / 2012 / 744 str.

Michael J. Way; Jeffrey D. Scargle; Kamal M. Ali

Opis

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.

Recenzje

"The volume is a well-organised collection of articles presenting the importance of modern data mining and machine learning techniques in application to analysis of astronomical data. … A major strength of the volume is its very impressive collection of real examples that can be both inspirational and educational. … The book is particularly successful in showing how collaboration between computer scientists and statisticians on one side and astronomers on the other is needed to search for a scientific discovery in the abundance of data generated by instrumentation and simulations."
—Krzysztof Podgorski, International Statistical Review, 2014

Spis treści

Part I Foundational Issues. Part II Astronomical Applications: Source Identification. Classification. Signal Processing (Time-Series) Analysis. The Largest Data Sets. Part III Machine Learning Methods. Index.