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20012014
most citedData Mining and Machine Learning in Astronomy

387 citations · 1k across the 16 of their papers we have counts for

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16 papers

astro-ph.GA2014★ 32 cited

The Next Generation Virgo Cluster Survey. XV. The photometric redshift estimation for background sources

A. Raichoor, S. Mei, T. Erben +28

The Next Generation Virgo Cluster Survey is an optical imaging survey covering 104 deg^2 centered on the Virgo cluster. Currently, the complete survey area has been observed in the…

astro-ph.IM2013

Focus Demo: CANFAR+Skytree: A Cloud Computing and Data Mining System for Astronomy

Nicholas M. Ball

This is a companion Focus Demonstration article to the CANFAR+Skytree poster (Ball 2012), demonstrating the usage of the Skytree machine learning software on the Canadian Advanced…

astro-ph.IM2013★ 3 cited

CANFAR+Skytree: A Cloud Computing and Data Mining System for Astronomy

Nicholas M. Ball

At the Canadian Astronomy Data Centre, we have combined our cloud computing system, CANFAR, with the world's most advanced machine learning software, Skytree, to create the world's…

astro-ph.IM2011

Discussion on "Techniques for Massive-Data Machine Learning in Astronomy" by A. Gray

Nicholas M. Ball

Astronomy is increasingly encountering two fundamental truths: (1) The field is faced with the task of extracting useful information from extremely large, complex, and high dimensi…

astro-ph.CO2011

Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey

Nicholas M. Ball

The Next Generation Virgo Cluster Survey is a 104 square degree survey of the Virgo Cluster, carried out using the MegaPrime camera of the Canada-France-Hawaii telescope, from seme…

astro-ph.IM2009★ 387 cited

Data Mining and Machine Learning in Astronomy

Nicholas M. Ball, Robert J. Brunner

We review the current state of data mining and machine learning in astronomy. 'Data Mining' can have a somewhat mixed connotation from the point of view of a researcher in this fie…