Data mining of large astronomical databases with neural tools

Giuseppe Longo; Ciro Donalek; Giancarlo Raiconi; A. Staiano; Roberto Tagliaferri; Salvatore Sessa; Fabio Pasian; Riccardo Smareglia; Alfredo Volpicelli

doi:10.1117/12.461147

19 December 2002 Data mining of large astronomical databases with neural tools

Giuseppe Longo, Ciro Donalek, Giancarlo Raiconi, A. Staiano, Roberto Tagliaferri, Salvatore Sessa, Fabio Pasian, Riccardo Smareglia, Alfredo Volpicelli

Author Affiliations +

Proceedings Volume 4847, Astronomical Data Analysis II; (2002) https://doi.org/10.1117/12.461147
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

Abstract

The International Virtual Observatory will pose unprecedented problems to data mining. We shortly discuss the effectiveness of neural networks as aids to the decisional process of the astronomer, and present the AstroMining Package. This package was written in Matlab and C++ and provides an user friendly interactive platform for various data mining tasks. Two applications are also shortly outlined: the derivation of photometric redshifts for a subsample of objects extracted from the Sloan Digital Sky Survey Early Data Release, and the evaluation of systematic patterns in the telemetry data for the Telescopio Nazionale Galilo (TNG).

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Giuseppe Longo, Ciro Donalek, Giancarlo Raiconi, A. Staiano, Roberto Tagliaferri, Salvatore Sessa, Fabio Pasian, Riccardo Smareglia, and Alfredo Volpicelli "Data mining of large astronomical databases with neural tools", Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); https://doi.org/10.1117/12.461147

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