Data Mining in Astronomy: Classification of Eclipsing Binaries

Details Data Mining in Astronomy: Classification of Eclipsing Binaries Data Mining in Astronomy: Classification of Eclipsing Binaries

Publishing date

Aug 2008

URL

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..381m&link_type=abstract

Journals

Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem

Science

Astronomy and Astrophysics

Field

Astronomy

Additional info 2

1

Type

Scientific paper

Abstract

Data mining is a powerful tool to obtain new knowledge and make scientific discoveries. One of key problems in astronomy is the classification of astronomical objects based on their observational parameters. Main goal of the current presentation is a description of method and results of data mining application to automatic classification of eclipsing binaries.
The method is based on the data from a thousand classified systems and allows for the classification of a given system based on a set of observational parameters, even if the set is incomplete. The procedure is applied to large catalogues of eclipsing variables, including those obtained as by-products of microlensing surveys (OGLE, MACHO, ASAS-3).
Also, after careful analysis of Data Mining methods and approaches of their incorporation into the Virtual Observatory infrastructure (AstroGrid) the CEA-application has been developed under the name Ensembled Weka that provides for various variants of composition of ensembles of algorithms. Ensembled Weka solves a problem defined by a problem description file. The design gives also an ability of hierarchical data analysis. Ensembled Weka has been checked by solving of eclipsing binaries classification problem.

Affiliated with

Also associated with

No associations

Rating

Data Mining in Astronomy: Classification of Eclipsing Binaries does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Data Mining in Astronomy: Classification of Eclipsing Binaries, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data Mining in Astronomy: Classification of Eclipsing Binaries will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1691150