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Proceedings Paper

Advanced data mining tools for exploring large astronomical databases
Author(s): Giuseppe Longo; Roberto Tagliaferri; Salvatore Sessa; Patricio F. Ortiz; Massimo Capaccioli; A. Ciaramella; Ciro Donalek; Giancarlo Raiconi; A. Staiano; Alfredo Volpicelli
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Paper Abstract

The advent of large format CCD detectors and of dedicated survey telescopes is providing the astronomical community with datasets of unprecedented size and quality. These data sets cannot be effectively exploited with traditional interactive tools and require the use of innovative data mining and visualization tools resulting from a synergy between astronomy and information sciences. We discuss here some preliminary results obtained by our group in the fields of automatic clustering in multiparametric space and detection of time transients (both astrometric and photometric).

Paper Details

Date Published: 1 November 2001
PDF: 15 pages
Proc. SPIE 4477, Astronomical Data Analysis, (1 November 2001); doi: 10.1117/12.447191
Show Author Affiliations
Giuseppe Longo, Osservatorio Astronomico di Capodimonte (Italy)
Roberto Tagliaferri, Univ. degli Studi di Salerno and INFM (Italy)
Salvatore Sessa, Univ. degli Studi di Napoli Federico II (Italy)
Patricio F. Ortiz, Osservatorio Astronomico di Capodimonte (Italy)
Massimo Capaccioli, Osservatorio Astronomico di Capodimonte (Italy)
A. Ciaramella, Univ. degli Studi di Salerno and INFM (Italy)
Ciro Donalek, Univ. degli Studi di Salerno (Italy)
Giancarlo Raiconi, Univ. degli Studi di Salerno (Italy)
A. Staiano, Univ. degli Studi di Salerno and INFM (Italy)
Alfredo Volpicelli, Univ. degli Studi di Salerno (Italy)

Published in SPIE Proceedings Vol. 4477:
Astronomical Data Analysis
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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