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IVOA KDD-IG: A user guide for Data Mining in Astronomy

Who's interested?


Purpose of this Guide

The purpose of this guide is to show how the techniques of data mining, a large well-known field with a wide array of applications, can be used within astronomy to improve the science that is done with the available data. It is written with the typical astronomer in mind, i.e., one whose first priority is to get good science done.

Under construction

Currently, sections 1, 2, 3, 4, 7, and 8 are largely written, in a form that from here is hopefully more about improvement that rewriting, but the plan is for the guide to grow in usefulness with time.

Sections 6 and 9 are unwritten. Contributions to these are welcome. Material exists for section 5.

Table of contents


  • Nick Ball is an active participant in the Next Generation Virgo Cluster Survey at the Herzberg Institute for Astrophysics in Victoria, British Columbia, Canada. His research interests include the galaxy luminosity function, galaxy, AGN, and quasar properties versus environment, photometric redshifts and classification, and data mining.

  • Sabine McConnell (main author of sections 3 and 4) is an Assistant Professor in the Department of Computing and Information Systems at Trent University, Peterborough, Ontario, Canada.

-- NickBall - 18 Mar 2011

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Topic revision: r12 - 2011-03-19 - NickBall
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