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<H1>IVOA KDD-IG: A user guide for Data Mining in Astronomy</H1>
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---++ Who's interested?

NickBall<br>
KirkBorne<br>
RaffaeleDAbrusco

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---++ 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 can be 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, the guide is under construction, and will grow and increase in usefulness with time. Section 1 is largely complete. Active work is ongoing on sections 2-5, and 8.

%RED% *Contributions to the sections, especially 2, 6, 7, 8, and 9, are welcome.* %ENDCOLOR%


---++ Table of contents

   * *[[IvoaKDDguideIntro][1: What is 'data mining' and why is it important in astronomy?]]*
   * *[[IvoaKDDguideScience][2: Examples of improved science enabled by data mining techniques]]*
   * *[[IvoaKDDguideProcess][3: Overview of the data mining process]]*
   * *[[IvoaKDDguideAlgorithms][4: The main data mining algorithms]]*
   * *[[IvoaKDDguideComparison][5: Which algorithm to use?]]*
   * *[[IvoaKDDguideFuture][6: Present and future directions]]*
   * *[[IvoaKDDguideUnused][7: Algorithms and techniques astronomers could benefit from but don't use]]*
   * *[[IvoaKDDguideLinks][8: Links: Books, papers, websites]]*
   * *[[IvoaKDDguideExample][9: Worked example]]*


---++ Authors

   * *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.

-- IVOA.NickBall - 07 Jan 2011



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Topic revision: r10 - 2011-01-07 - NickBall

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