Book Chapter10.1007/10857598_31
Artificial Intelligence Tools for Data Mining in Large Astronomical Databases
Giuseppe Longo,Ciro Donalek,Giancarlo Raiconi,Antonino Staiano,Roberto Tagliaferri,Fabio Pasian,Salvatore Sessa,Riccardo Smareglia,Alfredo Volpicelli +8 more
- 01 Jan 2004
pp 202
5
TL;DR: Some tools implemented by the AstroNeural collaboration (Napoli-Salerno) aimed to perform complex tasks such as, for instance, unsupervised and supervised clustering and time series analysis are described.
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Abstract: The federation of heterogeneous large astronomical databases foreseen in the framework of the AVO and NVO projects will pose unprecedented data mining and visualization problems which may find a rather natural and user friendly answer in artificial intelligence (A.I.) tools based on neural networks, fuzzy-C sets or genetic algorithms. We shortly describe some tools implemented by the AstroNeural collaboration (Napoli-Salerno) aimed to perform complex tasks such as, for instance, unsupervised and supervised clustering and time series analysis. Two very different applications to the analysis of photometric redshifts of galaxies in the Sloan Early Data Release and to the telemetry of the TNG (telescopio nazionale Galileo) are also discussed as template cases.
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